{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Credits: Forked from [deep-learning-keras-tensorflow](https://github.com/leriomaggio/deep-learning-keras-tensorflow) by Valerio Maggio"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "24ca50a0-b9ad-425d-a28f-6bd3ca3ac378"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Introduction to Deep Learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "3896ecb2-47fa-4dbc-a2ff-9c76e9dfe93e"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Deep learning allows computational models that are composed of multiple processing **layers** to learn representations of data with multiple levels of abstraction."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8c3060aa-fee9-438c-bc60-4685c0eb4750"
    },
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "6287766f-972f-4b4d-bee7-5418f0af74de"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "**Deep learning** is one of the leading tools in data analysis these days and one of the most common frameworks for deep learning is **Keras**. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "2f1c6299-954a-461a-b5c1-a86a1d12ad15"
    },
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The Tutorial will provide an introduction to deep learning using `keras` with practical code examples."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "5e13607b-3ec5-4a95-a2d8-f898f20748da"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Artificial Neural Networks (ANN)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "4fa2e86a-be32-4e78-96d9-f511a07e3908"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "In machine learning and cognitive science, an artificial neural network (ANN) is a network inspired by biological neural networks which are used to estimate or approximate functions that can depend on a large number of inputs that are generally unknown"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "df0121bc-10f1-4ace-840e-6fc89c6fdc7f"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "An ANN is built from nodes (neurons) stacked in layers between the feature vector and the target vector. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "c25d7194-10bd-4196-9d4c-592bf6e188f9"
    },
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "A node in a neural network is built from Weights and Activation function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "15260f90-13d1-4fcc-afc6-379c507cb950"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "An early version of ANN built from one node was called the **Perceptron**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "92d4603e-7e39-4156-818c-785df6189fe8"
    },
    "slideshow": {
     "slide_type": "-"
    }
   },
   "source": [
    "<img src =\"imgs/Perceptron.png\" width=\"85%\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "356d5ec7-3392-4daa-9671-4cc7111c5c91"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "The Perceptron is an algorithm for supervised learning of binary classifiers. functions that can decide whether an input (represented by a vector of numbers) belongs to one class or another.\n",
    "\n",
    "Much like logistic regression, the weights in a neural net are being multiplied by the input vertor summed up and feeded into the activation function's input."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "A Perceptron Network can be designed to have *multiple layers*, leading to the **Multi-Layer Perceptron** (aka `MLP`)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src =\"imgs/MLP.png\" width=\"85%\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "nbpresent": {
     "id": "5678486b-caf4-440b-be62-2f1286982c71"
    },
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "The weights of each neuron are learned by **gradient descent**, where each neuron's error is derived with respect to it's weight."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Optimization is done for each layer with respect to the previous layer in a technique known as **BackPropagation**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src =\"imgs/backprop.png\" width=\"80%\">"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Building Neural Nets from scratch \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Idea:\n",
    "\n",
    "We will build the neural networks from first principles. \n",
    "We will create a very simple model and understand how it works. We will also be implementing backpropagation algorithm. \n",
    "\n",
    "**Please note that this code is not optimized and not to be used in production**. \n",
    "\n",
    "This is for instructive purpose - for us to understand how ANN works. \n",
    "\n",
    "Libraries like `theano` have highly optimized code."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "source": [
    "(*The following code is inspired from [these](https://github.com/dennybritz/nn-from-scratch) terrific notebooks*)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Import the required packages\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Display plots inline \n",
    "%matplotlib inline\n",
    "# Define plot's default figure size\n",
    "matplotlib.rcParams['figure.figsize'] = (10.0, 8.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "import random\n",
    "random.seed(123)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "#read the datasets\n",
    "train = pd.read_csv(\"data/intro_to_ann.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "X, y = np.array(train.ix[:,0:2]), np.array(train.ix[:,2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 2)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500,)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x110b4b0f0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WfIUMY4z9BydbjJUhhYWFSExMRM2aNaGnpydXmzZt2mCQtzcGDBosKQu7dAmDv/NCYmJi\niT6dyRhjrPj46AfGygh/f39YWlrCxcUFVlZW6OLujmfPnn20TXp6Om7cuAHP/tLLdo7ffIOa6url\n+oDRwsJCHDlyBBMmTMDs2bNx//59ZYfEGGMKxckWYwoUGhqKqVOn4o/dexAdn4CEpMewa9QYrq6u\nKCws/GC7ihUrgoiQn58vVU5EePPmTbndwC8SidCxY0f8Mn8+9I2MkZGVDUdHR2zZskXZoTHGmMJw\nssWYAi1fsQK/+Pqipb09gLd3Hc6eNw8qlSohNDT0g+2qV6+Otu3aYf26dVLlgQGHUblSpVLZJK8I\nq1atglrVqjh/KQyTfvwRi5cuxdkLFzFlyhQ8f/5c2eExxphCcLLFmALFxsTAoZWjVJkgCGjp4IDY\n2NiPtl2zejW2bNqI/n16Y/26dfAZPgzjx4zB9u3bIQhFbhFQisTERAwbNgxmZmZo0KABFi5ciNzc\nXMn7+/fvx8TJ0heJ16lbF53d3XH48GFlhMwYYwrHyRZjClTPygqXw/+WKb96+TLq1av30baWlpaI\njIxEp44dER8bg4b16+Pu3btwcHBQVLifJSkpCa1bt4a+oRGOhZzEhs1bcPHSJXj07o13D77k5eWh\natWqMm3V1NSQl5dX2iEzxlip4KcR2RctNTUV4eHhUFdXR6tWrVChgvz/vkhNTYWvr69kxqV79+6Y\nNWsWtLW15e4jNDQU3t7e8N+3Hy3t7SESibB08WIcO3oEN27cKFNnen2uiRMnQqiogkVLlkjK8vPz\n0bxxI2z280ObNm0wbdo0vHr9Gus2bJTUefXqFRpa1UNwcDDs/1luZYyx8oCPfmBfNSLCwoULsWzZ\nMjRr3hwvXrxA7ps32LdvHxo3blxk+5ycHDg4OKCFvT3Gfj8egiBg/bq1CLt4EZcvX0b16tXljmXX\nrl2YMWMGKlSogPT0dDh+8w02+/nB6Au7R69Zs2ZYuXYdWtrbIzc3F3t3++NkSAji4+LQyM4O27dv\nx6tXr/BN69awqV8fAwcNRnLyC6xYugzqmhrITE9HeHg4NDU1lf1RGGNMLpxssa/a/v37MXvOHBwL\nOQkjIyMQEfbt3YOfpk5FXFwc1NTUPtrez88PAYGBOBh4RGp/VJ+ePeDm6ooxY8YUK56CggIkJiZC\nXV1d7nO2yhuXDh0wbORIdHJ1Q1c3N6iqqmLAoIFIS0vD2lWr4OHhgWXLlv2TfP4EKxtrqKurY8DA\nQejk5oahgwfBrmFDTJ8+HdevX0dycjKaN2/+xX5fjLHyj5Mt9lVr164dRo4Zgx49e0mVd3VzxfBh\nw+Dp6fnR9gMGDkQbZ2cMGuItVb7rj504dfIkdvv7l3jM5Z2/vz9+XbIEvXr3wZXwv7H/cIBk2TYt\nLQ3N7Gxx7NgxbN++HfpGxpj0449S7Y8HBWHFsqXIzspCVnY2zMzMcP3aNQwfPhxLliwpsw8FMMa+\nXnyoKfuqPX78GNbWNjLlVjY2ePLkSZHttbW08DjpsWy/SY+hraVVIjF+afr374/27dphzcoV8Bk9\nRmp/nIaGBjz7eyEgIAAaGhp48Z5jHp4+fYKY6BgMHOKN2/eiEBQcgjsxsTh//i9s2LChND8KY4yV\nKE622BepRYsWOBkSIlVWWFiIUydPonnz5kW29/b2xuZNG5GYkCApe5CYiE0b1sPb2/sjLb9egiBg\nxYoVsLa2fu+BrYWFhahQoQIGDhwI/z//QGxMjOS9ly9fYvHChTAwNMDosWMls1ja2tpYuGQJJ1uM\nsXKNL1djX6SpU6fCxcUFWlqa6N3XEy9evMC82T/DyNAQTk5ORbZv3Lgx5s6di1YtmqO9iwsEQcCp\n0FD4+vqiWbNmpfAJyq/+/fvjt7Vr0NHVVfK05f3YWOzYthU+Pj7Izs7GkiVL8O03jujk5gY1NTUE\nHTkCR0dHqFWrJrNcaC3nbCRjjJVVvGeLfbHCw8Mxa9YsnDt3DjVr1sTAgQPh6+tbrCcJU1JScPz4\ncQCAm5sbb9aWQ25uLrp264b0tHR4DRyIK5fDcejAAXTo2BHGpqYICgxE+/btsWjRIgQFBSE3Nxed\nO3fGmzdv4OLigqi4eKiqqkr62+2/C7t27sSpj5y4zxhjysAb5Bn7BxHx5upSVlBQgMDAQBw+fBgB\nAQE4fjJUcmVRTk4O3F1dMXDAdxg9erRUO09PT+SIRFi8dBnMzM0RdPQIJo4bhz179sDZ2VkJn0Q5\ncnNzERwcjNTUVDg5OaFOnTrKDokx9h68QZ6xf3CiVfpUVFTg4eEBZ2dnuLq5SRItAKhatSpmzJyJ\nnX/8IdNu586daNigAdo6tUZNtSpYs2IF/vzzz68q0QoPD4eFhQVWrlqN0NOn4ejoCB8fH4jFYmWH\nxhj7RLxnizGmMOnp6dAzMJAp19PXR3pamky5qqoqFi1ahEWLFkEsFhfrxP8vgUgkQs+ePfHbxk3o\n7O4OAMjKykJXNzds2LABY8eOVXKEjLFP8XX9ScYYK1Xt2rVDUGAgRCKRVPm+PXvQtm3bj7ZVdqIl\nFosRERGBK1euID8/v1TGDAoKQoOGDSWJFgBUr14dc+bNw7Zt20olBsZYyeOZLcbKuJs3b+LWrVuw\nsLCAk5OT0pOQ4mjSpAmcnZ3h7uqKGTNnQk9fH/v27MHe3f4ICwtTdngfFB4ejsGDB6NQLIaamhpS\nX73C2rVr0atXr6Ibf4aXL1+ilpmZTLmZuTlevnyp0LEZY4rDyRZjZVRWVhZ69+mD6KgofOPkhNu3\nbqFihQo4evQoTE1NlR2e3LZv346NGzdi/ry5yEhPR7t27RAWFoZatWopO7T3SklJQbdu3bB2wwZ0\n694DgiDgcng4+vbqidq1a6NRo0YKG7t169ZYsGAB3rx5gypVqkjKAw4fxjfffKOwcRljisVPIzKm\nYIWFhcjMzETNmjWLNSs1atQoZGZnY9OWrVBRUQERYenixTgdehLnz59XYMRft2XLliHy7l1s2rJV\nqnzp4sV4/OghNm3apNDxBwwYgKfPnmPOL7/A2MQEhw4cwLJfF+Ps2bNo0KCBQsdmjBUPP43ImJKJ\nxWIsWLAARkZGqFWrFmrVqoXVq1dDnn9Q5OXlwd/fHwt/XQIVlbcT0IIgYNKUKYiLi8P9+/eLFUtO\nTg7Onj2LsLCw957uzv7vwYMHsLWTnb2ya9QIiQ8eKHz8HTt2wLVTR4weMRyt7Vvi6uVwnD59mhMt\nxsoxTrYYw9ulo6ioKOTm5pZYnz/99BNOBIcg9Ow5JL9Ow6EjR7Ft+3asXLmyyLY5OTkgIplDVFVU\nVGBsbILk5GS549ixYwdq1aqFmTNnYdTo0ahduzYuXrwoU+/Fixfw8fGBrq4utLW14e3tjceP/38/\n5N27dxEUFISEf11hRETIyMhAQUGB3PGUdXZ2drhw/pxM+flz52Bna6vw8VVUVDB16lTcu3cPz58/\nx/59+2BbCuMyxhSIiMrM6204jJWe1NRU6t2nD2loaFCdunVJV1eXVqxY8dn9pqenk4aGBiUkPSZR\nQaHkdTPyDunr61NeXt5H24vFYqpfvz4dCw6Rah+TkEiampqUkZEhVxxhYWFkZGRE12/dlvRx+MhR\n0tHRoeTkZEm9rKwssra2pnHjJ1BMQiLFPXxEU6ZNJwsLC4qLi6P2Li5kYmJCrm5upKurS/369aM/\n//yTrK2tqVq1aqSurk4TJkygnJycz/jW3q+wsJAuXLhAR44ckYpZXunp6RQTE1NkbGKxmC5evEhT\np04lXV1dmvPLL5SSlk7pOSLatGUL6erqUmJi4id+CsbYl+ifvKXo/EaeSqX14mSLlbb2Li7kM3o0\npaSlk6igkG7dvUfWNja0ffv2z+r3xo0bZGtnJ5UovXsZGhrS48ePi+zj0KFDZGhoSDv9/enRs+cU\ndCKYGjRsSAsXLpQ7joEDB9LSFStlYvhu4EBavny5pN6GDRvIvWtXmXqe/fuTnV0jGjt+PGW+ySVR\nQSGlZmaRQ6tWpKenR8Ghpygnv4DuP3hIPT08qHefPp/0fX1IREQE1alTh2zt7Khjp06krq5Os2fP\nJrFYXGRbkUhEo0ePJnV1dbKsXZu0tLRo9uzZVFhYKFO3oKCAvLy8qHadOjRtxk/kNXAgaWhokKqq\nKlWtWpW+/fZbunbtWol+NsZY+cfJFmNFiIiIIFNTU8rKzZNKMEJOnaaGDRt+Vt8vXrwgDQ0NSn6d\nJtV3/KMk0tDQkJplEYvFFBUVRffu3ZNJIkJCQsjZ2Zm0tbWpadOmtGPHDrkSjXecnZ1lZsdEBYXk\nu/hX+uGHHyT1hgwZQus3bZKpt3LtWqpRsya9zsqWKm/StCkdOBwgVZaWnUP6+vp069Yt+umnn8jQ\n0JAqV65M7V1c6NKlS8X+Dt+8eUMmJia0/Y8/KCe/gEQFhfTgyVNqaGtLf/75Z5Hthw0bRl27d6dH\nz56TqKCQouMTyN7egby8vKhHz57U3sWFFi5cSK9fv6Zt27aRQytHqc95L/Y+aWpqUmRkZLFjZ4x9\nHeRNtnjPFvtq3b9/H02bNUPFihWlylvY2yM2Nvaz+tbT00OXLl0w8ftxyMnJAfD2NPXvR4/CkCFD\noKamBgAICwtDw4YN4erqCrfOnWFjYyP1pGHHjh1x9uxZvHz5EtevX8fgwYOLdf1QkyZN3nuB8+nQ\nk2jatKlUvAnxCTL17kbegbGxsdQxBAAQde8enNu1kypTVVVFK0dHDBs+HJF37yL41Gk8TXmJfl5e\n6N69O65duyZ33MDbAz7r1rNCv/5eks+sr6+PefMXYOPGjR9tm5ycjIMHD2Lztu3Q1dUFAJiZmaGe\ntRXC/v4bXbp2xbjxE3D7zh20atUKO3bswA8/Tpb6nBaWlujbr5/kInLGGPtUfM4W+2pZW1vj2tWr\nKCgokDzxBwDhYWGwsbH57P43btyI4cOHo665GaysrBEVdQ8eHh749ddfAQBPnjxBjx49sG7jRnTt\n1h0AEHz8OHr37o2rV6/C3Nz8s2MYP3487O3tYWFpgYGDhyAnJwfLfv0Vz54+Re/evSX1hg4ditat\nW6Nvv36wtbMDAMTGxOBIwGHk5ubi6dOnMDIyktQ3MDRE5O3bcGjVSlImFotx+9ZtZGdn4cxfF1Cp\nUiUAwIBBg5GdnQPfhQtx+NAhuWN/+vQp6lnVkymvZ2WFJ0+efLRtYmIi6tSpC3V1dUnZvbt3ERoS\ngoi79yTlrp07Y/TIEQgJDoZ6TXWZfmrWVEd2drbcMTPG2HvJM/1VWi/wMiIrZa5ubjRk6FB69vIV\niQoK6erNCKpTty798ccfJTZGUlIS/fXXX/Ts2TOp8jlz5tCosWNllu4m/DCJpk+fXmLj37p1i1zd\n3EhFRYWqVKlCbdu1o9WrV1NSUpJUvd27d5OWlha1d3Ghjp06kYaGBm3dupVmzZpFzZu3oEuXr1B2\nXj4Fh54iXV1dsmvUSPIAQIboDU2dPoOqV69Offv1k/lM0fEJZGxsXKy4w8LCqHadOjLLvMtWrqK+\nnp4fbftuGff5q1RJu4W/LiGf0WNkYjt38RJpamnJxJ2amUUWlpYUHh5e7O+cMfZ1gJzLiDyzxb5q\ne/fswbhx42BlaQENDQ3k5+dj1qxZGDBggExdIsLFixfx4MED2NnZyX2SuImJCUxMTGTK4xMS8O17\n7gds2rwZ1q5ciYhbt1CjRg0MHDAA7u7uxVo+fGfnzp1Yvnw5YmJiYGxsjNdpaahQoQIuXrqEuXPn\nYsyYMZg/fz4EQUC/fv3g7u6O06dPo7CwEPv37UPNmjVBRNDR0cGAfp548OABGjRogBUrViA6OhpN\nbRvCytoaMTEx0NbSwuxf5iPg4AGZOOJiY2FoaFis2B0cHFC7dm0MGTgA8+YvgKGREQ7u34fFvgtw\n8uTJj7bV09NDr169MHLYUKzbsBG6urrIyclG2uvXMnVzsrNhaWmJyNu3MXTQIAwcPBhp6WlYtWw5\nnFq3RsuWLYsVN2OMyZAnIyutF3hmi/1HYWFhsTaEf0hBQQEFBgbS1KlTaenSpTKzTGlpaRQfH//B\nIxkeP35MTZs2JZv69cmzf38yNTUlt86dKTMz85NjWrhwIQ0ZOlRmpmXI0KFUv0ED2nfoEG3w8yNr\nGxupzex6PJPxAAAgAElEQVTyWrt2LdWzsqITJ0Mp7sFDUldXp1PnzkvGSXr+gmzq16eDBw/K3ed/\nfxavX7+mSZMmkXPbtiQqKKT0HBGZ1qpFW3fskGxqf/wimZo0bUqbN28u9mfIzs6myZMnk46ODlWs\nWJHat29Pf//9t1xtRSIRjRo1imrUqEFGRkakqqpKampqdCc6RvIdZL7JJZeOHWnJ8hX07OUrmjd/\nAbW0tycNDQ3atm3be59cZIyxd8BPI7LyLCQkhOzt7UkQBNLR0aHp06fTmzdvPqmvjIwMcnR0pBYt\nWtKceb/QYG9v0tLSomPHjsndh7OzM82aPUeSQGS+yaX+331HPj4+nxQT0dulLgMDA/pt40bKEL2h\nzDe5tGnLVqpRowbFP0qSJATPXr4iAwMDunv3rtx95+bmkr6+vuR8rVVr11E/Ly+ZxO73XbvI1c1N\n0k4kElF6enqxPoe3tzf9tnGjpM93S7E29evTt85tSUNDg6ZMmfLZSfOntA8KCiI9PT1atnIlJT5+\nQj9Om0Y1atSgMeO+p3kLFlDtOnWok6srpeeIJPFn5+VTlSpVKCsr67PiZYx9+eRNtkpkGVEQhK0A\n3AG8ICK7D9RZA8ANQDaAIUQUURJjsy/P6dOnMWjQICxbtQoqKipITEjA6dBQDB48GHv27CmyfVJS\nEtavX4/bkZEwNzNDTk4OzCwssHXH75KluCFDh6FPzx54+PAhqlat+tH+4uLiEB0djSMngiXtVVRU\nsGjJUthaW2H16tVQVVUt9ufU09PDyZMnMW7cOMyYOhWCIKBy5cpYsmKF1GZ0DQ0N9OrTB0ePHkX9\n+vXl6vvhw4dQq1oV9f+54uVlSgpq1TKTqVerlhlepqTgxYsXmDhxIo4cOYLCwkJUr14dtnZ2+HXx\n4iKX0QwNDREb8/+nNxva2uLW3XsYN2oUnj19gqioKBgYGMgV98d8yjLqnDlzsMFvMzq7uwMA5vsu\nRLcePdGpXVt4eXnh+bNnCAoOQeXKlSVtgo8fh42NDapVq/bZMTPGGFBy1/VsB9DpQ28KguAGoDYR\n1QXgA+Djz22zr5qvry+GDBuGHydOxKb1G3Dj+nXcuH4dISEhiIqK+mjbiIgING/eHFk5IngPHw4d\nPX0cOHgQLe0dpP6ydmjVCnaNGhW59wd4e5WPiYmp5Om6d/T09CAIgszTakSE/fv3o1v37nBxccGv\nv/6K9PT09/Zta2uL8+fPIz4+Hvfv30ftOnVQy7SWTL03IpFUQlAUHR0dvE5NRUZGBgCglaMjjgUd\nlbkX8WhgIFq1aoUOHTpA39AI8Y+S8CojE6vWrcPNmzfh5uaGkJCQj441dOhQ/Lnzd1z/19EOMdHR\nOH4sCAsXLiyRROvp06dISkp6NwMul4KCAty8eROunTtLlbdo0QIOrRzRp08fzJw5E726dUXw8eN4\n/Pgx/tz5O8b4jISvr+9nx8wYYxLyTH/J8wJgBuD2B97bCMDzX7+PAqD/nnqKmedj5Ur16tVJW1ub\njoeclCztPElOobr16tGYMWM+2rZt27ZSS1qigkI689cFMjA0pAzRG6nyHj17kr+/f5HxZGRkkKam\nJsUkJEq1Dw49RdbW1jLLWz4+PtSocWPatnMnHT5ylPp4elKDBg0oNTW1yLFWrFhBHTp2lJzWLioo\npOi4eNLS0qKHDx8W2f7fvLy8aPjIkZT5Jpdy8guobbt21KVrVwq/dp1iEx/Q3F/mk6GhIW3atIla\nOTpKlkjfvRYsWkwdOnYkOzu7IpfwDh06RDo6OuTU5ltq2649aWlp0e+//16seMPDw8mjd2+ytrYm\nVzc3Cg4Optu3b5OjoyNpa2uTnp4eNWnSRO4DUsViMWlra9PdmFipz5Wdl0/mFhYUERFBYrGYdu3a\nRQ4ODmRoaEiubm50/vz5YsXNGPt6obT3bBWRbB0F4Piv358C0PQ99RT4lbDywtDQkNp8+y2N8PGh\nzl260MyfZ1Pi4ye0e/9+at6ixQfbZWZmkpqamtT+m3evuvXq0V9hf8uc5P7ixQu5YvL19aUGDRvS\n8ZCT9CQ5hfz37SNjY2Pav3+/VL0bN26QiYmJzMnxXgMG0Lx584oc582bN9SxUydq3KQJ+S7+lSZP\nmUp6enq0du1aueL8t9evX1PHTp3IxMSEuvfoQcbGxlSnbl0yt7AgPT09GjhwIN2/f5/mzp1L0376\nSeY7u/B3ODVp2vTtSfhy3EmYk5NDx48fp6NHjxb7wYHg4GDS09Oj1evW0Y3bkbTt99+pVq1apKGh\nQRv8/CjzTS5l5+WT/759pKOjQwkJCXL1O336dOri7i45GT4nv4AWLFpMLVu2LJEHLxhjXzd5k63S\nOvrhfZst3rseMHfuXMmvnZ2d4ezsrJiIWJll+M+BmS4dOsKlY0ecOnkSji1bYNWatRCJRB9sV6HC\n21Xx/Px8qSU3IkJ2djbWrVmNocOG48GDRCxZvBhTp06Fnp6eXDHNmDEDhoaG+GnaVMnRD5s3b4ab\nm5tUvePHj8OjT1/UqFFDqnyI91DM+mkGZs+e/dFxVFVVcfzYMZw4cQInT55EjRo1cO7cuU86ZFVD\nQwMhwcGIjIxETEwMfpk3D3Z2slsqzc3NsXfffpny27ciYGRsjPuxsZIT7z9GTU1N5vuQBxFh6tSp\n2Lh5C9y6dAEA2NSvD7tGjdHWqTX6eX0nOXS2Zy8PXL18BRs2bMCSJUuK7Hvu3Lnw9vaGlaUFWjs5\nISoqCqqVKyMgIOCT9oAxxr5u586dw7lz54rfUJ6MTJ4XireMGA1eRmTvkZ2dTRoaGnTlxk2Zu/wa\n2trSyJEjP9revWtX+sV3oVTbA4cDyMLCgqZMmUKtnZyol4cHnThxQiHxL1u2jEb4+MjMEh0KPEKt\nnZzK5FECWVlZZGxsTBu3bJEsJV69GUHGJibUu2/fEr9c+r9SUlJIXV2dsvPyZb43K2truhh+Waps\n78GD1LVbt2KNERMTQ3v27KGLFy/yjBZjrMRAzpktgYqx4fRjBEEwB3CUiGzf815nAGOJqIsgCA4A\nVhGRw3vqUUnFw8qn0NBQzJ33C07/635AAMjMzISBjjaio6JQt27dD7ZPSEhA27Zt0bxFC7Rxbovb\ntyJwJCAAhw8fRuvWrRUdPh4+fIimTZvi0uUrMLewAADk5eWhY7u2uHrlCqpVq4bvvvsOv/76K2rW\nrKnweOQVGRkJT09PvEpNhYaGBp4/ewYdHR3UqFEDgYGBOHXqFI6fOAG1KlXg5eUFNze3EpsZys7O\nhoGBAeIePpK6XqewsBBmxkY4+9cF1K33/2t7Zs2YAYgLsWzZshIZnzHGPpUgCCCiIv8wLJGnEQVB\n8AcQBqCeIAiPBEHwFgTBRxCEkQBARMcBJAqCEAdgE4AxJTEu+/KoqKggPy9PpjwvLw+VK1VCnTp1\nPtre0tISkZGRaN+uHaLuRKLOP78vjUQLeHvZ8fz58+HUygFTJ0/GIt8FsKtvAyLCy/QM3LoXhWyR\nCN26dSvyybrnz5/jxo0byMrKKnYcd+7cQS8PD6irq8PU1BQzZsyQXIj9Pra2trh79y6OHzuGgQMG\noG/fvrC3t0efPn3Qp08f+O/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C8HYWrGwQBIHKUjxMsV6+fIlNmzbh2vXrMDYywsiRI2Fn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\nDX9u7LtHVykAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eada2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Let's plot the dataset and see how it is\n",
    "plt.scatter(X[:,0], X[:,1], s=40, c=y, cmap=plt.cm.BuGn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "## Start Building our ANN building blocks\n",
    "\n",
    "Note: This process will eventually result in our own Neural Networks class"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### A look at the details"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"imgs/mlp_details.png\" width=\"85%\" />"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Function to generate a random number, given two numbers\n",
    "\n",
    "**Where will it be used?**: When we initialize the neural networks, the weights have to be randomly assigned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "# calculate a random number where:  a <= rand < b\n",
    "def rand(a, b):\n",
    "    return (b-a)*random.random() + a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Make a matrix \n",
    "def makeMatrix(I, J, fill=0.0):\n",
    "    return np.zeros([I,J])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Define our activation function. Let's use sigmoid function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# our sigmoid function\n",
    "def sigmoid(x):\n",
    "    #return math.tanh(x)\n",
    "    return 1/(1+np.exp(-x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Derivative of our activation function. \n",
    "\n",
    "Note: We need this when we run the backpropagation algorithm\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# derivative of our sigmoid function, in terms of the output (i.e. y)\n",
    "def dsigmoid(y):\n",
    "    return y - y**2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Our neural networks class\n",
    "\n",
    "When we first create a neural networks architecture, we need to know the number of inputs, number of hidden layers and number of outputs.\n",
    "\n",
    "The weights have to be randomly initialized."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "```python\n",
    "class ANN:\n",
    "    def __init__(self, ni, nh, no):\n",
    "        # number of input, hidden, and output nodes\n",
    "        self.ni = ni + 1 # +1 for bias node\n",
    "        self.nh = nh\n",
    "        self.no = no\n",
    "\n",
    "        # activations for nodes\n",
    "        self.ai = [1.0]*self.ni\n",
    "        self.ah = [1.0]*self.nh\n",
    "        self.ao = [1.0]*self.no\n",
    "        \n",
    "        # create weights\n",
    "        self.wi = makeMatrix(self.ni, self.nh)\n",
    "        self.wo = makeMatrix(self.nh, self.no)\n",
    "        \n",
    "        # set them to random vaules\n",
    "        self.wi = rand(-0.2, 0.2, size=self.wi.shape)\n",
    "        self.wo = rand(-2.0, 2.0, size=self.wo.shape)\n",
    "\n",
    "        # last change in weights for momentum   \n",
    "        self.ci = makeMatrix(self.ni, self.nh)\n",
    "        self.co = makeMatrix(self.nh, self.no)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Activation Function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "def activate(self, inputs):\n",
    "        \n",
    "    if len(inputs) != self.ni-1:\n",
    "        print(inputs)\n",
    "        raise ValueError('wrong number of inputs')\n",
    "\n",
    "    # input activations\n",
    "    for i in range(self.ni-1):\n",
    "        self.ai[i] = inputs[i]\n",
    "\n",
    "    # hidden activations\n",
    "    for j in range(self.nh):\n",
    "        sum_h = 0.0\n",
    "        for i in range(self.ni):\n",
    "            sum_h += self.ai[i] * self.wi[i][j]\n",
    "        self.ah[j] = sigmoid(sum_h)\n",
    "\n",
    "    # output activations\n",
    "    for k in range(self.no):\n",
    "        sum_o = 0.0\n",
    "        for j in range(self.nh):\n",
    "            sum_o += self.ah[j] * self.wo[j][k]\n",
    "        self.ao[k] = sigmoid(sum_o)\n",
    "\n",
    "    return self.ao[:]\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### BackPropagation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "def backPropagate(self, targets, N, M):\n",
    "        \n",
    "    if len(targets) != self.no:\n",
    "        print(targets)\n",
    "        raise ValueError('wrong number of target values')\n",
    "\n",
    "    # calculate error terms for output\n",
    "    output_deltas = np.zeros(self.no)\n",
    "    for k in range(self.no):\n",
    "        error = targets[k]-self.ao[k]\n",
    "        output_deltas[k] = dsigmoid(self.ao[k]) * error\n",
    "\n",
    "    # calculate error terms for hidden\n",
    "    hidden_deltas = np.zeros(self.nh)\n",
    "    for j in range(self.nh):\n",
    "        error = 0.0\n",
    "        for k in range(self.no):\n",
    "            error += output_deltas[k]*self.wo[j][k]\n",
    "        hidden_deltas[j] = dsigmoid(self.ah[j]) * error\n",
    "\n",
    "    # update output weights\n",
    "    for j in range(self.nh):\n",
    "        for k in range(self.no):\n",
    "            change = output_deltas[k] * self.ah[j]\n",
    "            self.wo[j][k] += N*change + \n",
    "                             M*self.co[j][k]\n",
    "            self.co[j][k] = change\n",
    "\n",
    "    # update input weights\n",
    "    for i in range(self.ni):\n",
    "        for j in range(self.nh):\n",
    "            change = hidden_deltas[j]*self.ai[i]\n",
    "            self.wi[i][j] += N*change + \n",
    "                             M*self.ci[i][j]\n",
    "            self.ci[i][j] = change\n",
    "\n",
    "    # calculate error\n",
    "    error = 0.0\n",
    "    for k in range(len(targets)):\n",
    "        error += 0.5*(targets[k]-self.ao[k])**2\n",
    "    return error\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [],
   "source": [
    "# Putting all together\n",
    "\n",
    "class ANN:\n",
    "    def __init__(self, ni, nh, no):\n",
    "        # number of input, hidden, and output nodes\n",
    "        self.ni = ni + 1 # +1 for bias node\n",
    "        self.nh = nh\n",
    "        self.no = no\n",
    "\n",
    "        # activations for nodes\n",
    "        self.ai = [1.0]*self.ni\n",
    "        self.ah = [1.0]*self.nh\n",
    "        self.ao = [1.0]*self.no\n",
    "        \n",
    "        # create weights\n",
    "        self.wi = makeMatrix(self.ni, self.nh)\n",
    "        self.wo = makeMatrix(self.nh, self.no)\n",
    "        \n",
    "        # set them to random vaules\n",
    "        for i in range(self.ni):\n",
    "            for j in range(self.nh):\n",
    "                self.wi[i][j] = rand(-0.2, 0.2)\n",
    "        for j in range(self.nh):\n",
    "            for k in range(self.no):\n",
    "                self.wo[j][k] = rand(-2.0, 2.0)\n",
    "\n",
    "        # last change in weights for momentum   \n",
    "        self.ci = makeMatrix(self.ni, self.nh)\n",
    "        self.co = makeMatrix(self.nh, self.no)\n",
    "        \n",
    "\n",
    "    def backPropagate(self, targets, N, M):\n",
    "        \n",
    "        if len(targets) != self.no:\n",
    "            print(targets)\n",
    "            raise ValueError('wrong number of target values')\n",
    "\n",
    "        # calculate error terms for output\n",
    "        output_deltas = np.zeros(self.no)\n",
    "        for k in range(self.no):\n",
    "            error = targets[k]-self.ao[k]\n",
    "            output_deltas[k] = dsigmoid(self.ao[k]) * error\n",
    "\n",
    "        # calculate error terms for hidden\n",
    "        hidden_deltas = np.zeros(self.nh)\n",
    "        for j in range(self.nh):\n",
    "            error = 0.0\n",
    "            for k in range(self.no):\n",
    "                error += output_deltas[k]*self.wo[j][k]\n",
    "            hidden_deltas[j] = dsigmoid(self.ah[j]) * error\n",
    "\n",
    "        # update output weights\n",
    "        for j in range(self.nh):\n",
    "            for k in range(self.no):\n",
    "                change = output_deltas[k] * self.ah[j]\n",
    "                self.wo[j][k] += N*change + M*self.co[j][k]\n",
    "                self.co[j][k] = change\n",
    "\n",
    "        # update input weights\n",
    "        for i in range(self.ni):\n",
    "            for j in range(self.nh):\n",
    "                change = hidden_deltas[j]*self.ai[i]\n",
    "                self.wi[i][j] += N*change + M*self.ci[i][j]\n",
    "                self.ci[i][j] = change\n",
    "\n",
    "        # calculate error\n",
    "        error = 0.0\n",
    "        for k in range(len(targets)):\n",
    "            error += 0.5*(targets[k]-self.ao[k])**2\n",
    "        return error\n",
    "\n",
    "\n",
    "    def test(self, patterns):\n",
    "        self.predict = np.empty([len(patterns), self.no])\n",
    "        for i, p in enumerate(patterns):\n",
    "            self.predict[i] = self.activate(p)\n",
    "            #self.predict[i] = self.activate(p[0])\n",
    "            \n",
    "    def activate(self, inputs):\n",
    "        \n",
    "        if len(inputs) != self.ni-1:\n",
    "            print(inputs)\n",
    "            raise ValueError('wrong number of inputs')\n",
    "\n",
    "        # input activations\n",
    "        for i in range(self.ni-1):\n",
    "            self.ai[i] = inputs[i]\n",
    "\n",
    "        # hidden activations\n",
    "        for j in range(self.nh):\n",
    "            sum_h = 0.0\n",
    "            for i in range(self.ni):\n",
    "                sum_h += self.ai[i] * self.wi[i][j]\n",
    "            self.ah[j] = sigmoid(sum_h)\n",
    "\n",
    "        # output activations\n",
    "        for k in range(self.no):\n",
    "            sum_o = 0.0\n",
    "            for j in range(self.nh):\n",
    "                sum_o += self.ah[j] * self.wo[j][k]\n",
    "            self.ao[k] = sigmoid(sum_o)\n",
    "\n",
    "        return self.ao[:]\n",
    "    \n",
    "\n",
    "    def train(self, patterns, iterations=1000, N=0.5, M=0.1):\n",
    "        # N: learning rate\n",
    "        # M: momentum factor\n",
    "        patterns = list(patterns)\n",
    "        for i in range(iterations):\n",
    "            error = 0.0\n",
    "            for p in patterns:\n",
    "                inputs = p[0]\n",
    "                targets = p[1]\n",
    "                self.activate(inputs)\n",
    "                error += self.backPropagate([targets], N, M)\n",
    "            if i % 5 == 0:\n",
    "                print('error in interation %d : %-.5f' % (i,error))\n",
    "            print('Final training error: %-.5f' % error)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Running the model on our dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error in interation 0 : 53.62995\n",
      "Final training error: 53.62995\n",
      "Final training error: 47.35136\n",
      "1 loop, best of 1: 97.6 ms per loop\n"
     ]
    }
   ],
   "source": [
    "# create a network with two inputs, one hidden, and one output nodes\n",
    "ann = ANN(2, 1, 1)\n",
    "\n",
    "%timeit -n 1 -r 1 ann.train(zip(X,y), iterations=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Predicting on training dataset and measuring in-sample accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 loop, best of 1: 22.6 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%timeit -n 1 -r 1 ann.test(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>actual</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.491100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.495469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.097362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.400006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.489664</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   actual  prediction\n",
       "0     1.0    0.491100\n",
       "1     1.0    0.495469\n",
       "2     0.0    0.097362\n",
       "3     0.0    0.400006\n",
       "4     1.0    0.489664"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prediction = pd.DataFrame(data=np.array([y, np.ravel(ann.predict)]).T, \n",
    "                          columns=[\"actual\", \"prediction\"])\n",
    "prediction.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.076553078113180129"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.min(prediction.prediction)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Let's visualize and observe the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# Helper function to plot a decision boundary.\n",
    "# This generates the contour plot to show the decision boundary visually\n",
    "def plot_decision_boundary(nn_model):\n",
    "    # Set min and max values and give it some padding\n",
    "    x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5\n",
    "    y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5\n",
    "    h = 0.01\n",
    "    # Generate a grid of points with distance h between them\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, h), \n",
    "                         np.arange(y_min, y_max, h))\n",
    "    # Predict the function value for the whole gid\n",
    "    nn_model.test(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = nn_model.predict\n",
    "    Z[Z>=0.5] = 1\n",
    "    Z[Z<0.5] = 0\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    # Plot the contour and training examples\n",
    "    plt.contourf(xx, yy, Z, cmap=plt.cm.Spectral)\n",
    "    plt.scatter(X[:, 0], X[:, 1], s=40,  c=y, cmap=plt.cm.BuGn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x110bdb940>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RSxcv8vr1a/5YvoyJ40bz86DaiV2eEELPZJsG8d3zeRNA2rRpSJUqlU67ubk56dKlxedN\nAOnTmX3TGO/efcD7TQCWWdKSPPk//2ymzj/E2AlT6NCpMwBp0qRh0/ZdFMpjza27TyiaAIFnaG8H\n6v00iWxWVtStVx9/f3+mTZ6IFhZAzapF9D6e0BUYGMyxU3cJCQ2jepVCpE2TMt59l89tx7zfjtC9\nY0tee/lRoWw+9m/sR+kSMS8dCiG+byqp3d6tlNISsibNZ3WCnVskjpCQMKyLj2D/EScKFS4c3X7v\n7l0cHezwvD5TJxR9jcDAYAaN3cqWXRdJZW5OcHAQIwc4MqCHA0opLIsM5fQFZ7Jly6bTr3vn9lQu\nbkTXdnbf9L3F5dipO4yctItHbi+IiIiggWMJ5k9pQQaLVF/u/C8EB4eyZfdlTp1zIW3qFLRvWS5B\nwmNSt/uAM10HrqWYTTFMTEw4f/4CU0Y3onfnaoldmhAiFip9x4QfQyk0TVOftssMlvjuJU9uyM9D\n6tGqWSPmL/qNsuXLc+nCBQb268XPQ+r+63AF0HnAWjSjrNx+4IqFhQX3792jbatmmJgY0bOjPZky\npMHNxSVGwHJ1eUTzWuW/9VuLk4NdYS4fK4Tf20BMjI1IkSJ5go3l/+4DDk3nkTJVJpo2b82L58+o\n0XQBE0fWp0eHhAmQSZHnE2+6DlzL7gNHKFmqFAAe7u7UsK+ETeHsVCybN5ErFEIkJTKDJX4Yf249\nz5wlx3jo+ox8uS0Z3Ls67VpU+Nfn83jsTZma03jo/oQUKVJEt1+6eJFObZricmUav648wdptd9l9\n4Ahp0qQBYNOGDYwfPYRHl6diZPT9/z/Mz9N24vYiBSvXrkepyP9Jc3N1pWLZktw7N5lMGVMncoX/\njcm/7OXlu0zMXbBYp33R/HncvrKH1Ys7JVJlQoi4yAyWEHrQtnl52jbX36zRA5cXFCtWVCdcAZQu\nUwbPJ68JCQmjZ0d7Hrp6UThfLipXrsSTJ0/we+PFnvV9f4hwBbBj33VWrNsWHa4AcuXOTc1atdh7\n+HqCXQZNal55vSNX4cox2nPnycvxgwl3I4UQ4vv0Y/wFECIB5MmZidu37hAcHIyxsXF0+/Vr18hm\naYGRkQFKKeZPbcmQ3g6cv+yKRbpC2FUsgIHBj3ODbkRERPTdmR8zNDQkIiJpzYAnpHIlrVm5ZQd9\n+vXTCZv79+6ifKkciViZECIp+nH+CgihZ7lzZqR8mVz0790Df39/ADw9POjTowuDejro/JHNbpme\nFo3KUK1Kof8kXLl5vGbA6I1UrDubll2Xc/LMvQQbq0HtYiz/Tfey2PPnzzl44AB1a9ok2LhJTfOG\npfH1fsqAPr1wd3PjxYsXTJk4nqOH99Ozo31ilyeESGIkYAnxGWsXdyLsvTv5c1lhWzgfFUoXp4lj\nPvp1q55oNd2884QKjjMwSWvDpOlLqFKjHR37reO3VScTZLwR/R05/9cxWjZtyNYtm1kwdw72Fcow\naoAjllnSJsiYSZGxsRHHdw7GWPOkaqWylCxakCePTnN67zAyZkiYuzeFEN8vWeQuRDx4+7zjlZc/\nOa0sMDU1/nKHeAoMDOa3VSfZceAmoGhUuwh9ulT77Bh1Wy+iVv1O9OjdO7rN5dEjqlQog+e1mZiZ\nmeitvr+9e/eB1ZvO4nTWlXRpU9ChZTkqlfv23cfdPF5z/rIrGSzMqVa5IIaGBnqoVgghIiXmIncJ\nWEIkkpCQMByaziNNemt69R2AUorflizE+6ULJ3YOxtjYKEafiIgITLJ259UbP0xNTXVeq1m1EqP7\nladWtaL/1bfwr4WHR9B7+AZ27nfG3t4OTw8PvL1esmtd7//L/bWEEAlD7iIU4v/Q1t2XUUZp2Lxj\nN8mSRV6tt69WjTo1qrJ51yXat6wYo49SCmPj5Lx79y5GwHr37h2mKfQ3u6YPd+4/w9X9NQXzZSFv\n7szR7QuWHeWe2wfuuXhgZha5y/7GP/+kYdvhPLw0VWayhBDfPVmDJUQiOeJ0n1Y/tY8OVxAZoFq3\n7cDhk/dj7aOUomXjcsyYOomPZ3oPHTjAG5/XVCiTJ8Hrjg9fv/fUar6A2i0WsWzDPSrX+4VmnZYS\nGBgMwB9/nmPK9NnR4Qqgddu2ZMyclWOn7iZW2UIIoTcygyUE8PipD1dveJAlUxrKlsylc4fg5zx0\necn8Zce5dvsp2bOmpU/nKthVLBCvvilNk+Pr6xuj/c2bN5iljHsmaua4Jjg0mYuDXUVq1q7Hvbs3\nOX70KDvX9k4y20N0GbiWXAXKsuPgQgwNDQkODqZ75w4MHreVpb+05bWXHzlzxXz+Xrbs1rx8/TYR\nKhZCCP1KGr+NhUgkYWHh9Bz6JyWqTWbVVhc6DdhIiaqTcff0+mLfK9fcqVxvFumzlWPaL8uxq9mO\n9n3W8vu60/Eau23zMiz/dRGvX7+ObvPy8mLpkoW0aVo6zn7p05lx6ehoBnYtyQefC1S0Tc79C5OT\nzKNaXrz049TZ+0yb+QsGBgZs27qFhnXrcs35Oht3XOKysxvlSudl357dOv0CAwM5dvQ4O/dfJ6mt\nDRVCiK8lM1ji/9rsxYd44BHCfVdPzM3N0TSNRfPn0bj9r1xzGvvZmawRk3cxZcZs2neMfERKhYoV\nqWxnR/UqFWjTtOwX7zasUCYvXdqUp7RNEZq2aIlSim2bN9GjQ2WqVMj/2b5GRoY0a1CaZg3iDmKJ\n5eXrt1haZsHU1JTpU6awdctmxk2cSL58+dm/dy91Ws1izqTmDBgxDKUU9Rs2wsPdnbGjR1O3fgMu\nXzzLhm0X+OuiK863/pkZrFq5YGJ/a0IIEW9yF6H4v5azxEg27ziAja1tdJumaRQvkp+V81tRvnTs\na5pCQsIwz9EL77fvSJ5c90HLVSuWYerI6vEOBA9dXrLzwFU0DRrVKUGBvFn+/TeUBLx/H0wO2+Hs\nP3ICxxoOXLt9h8yZ/1ngvvKP39m7bTlePv4YJE/Pg/v3yZAxIx07d2HAoEEM6NuH7Vs202/gQKo5\n1OTenTvMmDqRMYNr0b39/8djeYQQ+iF3EQqRSF68fEO+/LqzRUop8ubNy4tXfnH2MzBIhqGhAe/e\nvSN9+vTR7Zqm8dbfn5SfWUP1qXx5MjOif92vLz6JSpnSmEG9avJTi6aUKl1aJ1wBNG/ZikH9++Fg\nb0PrTgNp1ryFzuunnJyYNXde9Mxg+QoVqFSlClUrlaNN03Jf9d4KIURikTVY4v9aqeJ5OHhgv05b\nQEAA586dp6SNdZz9DAyS0axBWWZOm6KzXmj3rp2EBr+nlG3cff8fjB5Uh/o18/PY01Onff/evTRp\nUJ8UKUx56/+eGVMmEhQUFP26u7s77m5utPqpjU6/fPnzky9/Pi45u/0n9QshxLeSgCX+r40fVpfB\n/XqzY/s2Pnz4wM0bN2jeqD5N6pUkR3aLz/b9ZWJTnI7uwcGuItMmT6ZNy6YM6N2dP5d20dl64f+R\nUoo5k1oSEuTPrp07AFiyaBHDhw6he69enDh9hkbNu/LkyTOK5M/N1EkTGTV8KHbly2BkZBj97Me/\naZrG27dvMTVNHttwP4THT304cfouj5/6JHYpQgg9kDVY4v/eUac7TJy9n8vOj8iSOT3d21dmeL/a\n8drsMjQ0jN0Hr3H99hOyZ01LqyZlSZ3K9Iv9/l9cueZOg7aLKVK0GOcvXOHSVWdy5c4d/fq2rVuY\nPWU0taoVJIWJES0alWbWoiOYZyjG7Lnzo28y2LljO+NGDuT+hck/XHgNDAym66B1HDl5myJFCnHn\nzj0c7Arxx7z2cjlUiG8kj8r5iAQsIX4sgYHBTJu3j0OnnnL20lWd18LCwkifygxf18WkSBE5O+Xl\n7U/NZvMxNc9A9RqO3Ll9nbNnTrN3fV9Kl4i5d9b3rvvgdbwNSsfSP1ZhampKYGAgvbt3IaWhF3/M\nb5/Y5QnxXZOA9REJWELET2BgMI/cXpE5Y2oyZUyd2OV81rWbnjTvupLbD9x0tr54/fo1hfLmwtd1\nkc6MYWhoGHsPX+farcdkz5qOlo3L/Gczgx6PvZm16DCnzz8iTeqUdGhVhi5tKifIzNlb/0Csi4/g\n7iN30qVLF93u6+tLwTzWuDvPJE1qmREV4t9KzID1Y821C/F/QNM0ps07gJXNcNr0Xk/BCmNp3nkZ\nvn7vE7u0ONkWtcLURLF21croNk3TmDz+Z1o2LhfjcqyRkSFN6pVi8qgmdO9g/5+FKzeP11RwnE7q\nzKVYtX4nw8bMZMXGW/QeviFBxnvt5U+6dGl1whVA2rRpsbBIzyvZ1V6I75bMYAmRiO49fM6psw9I\nk9qU+rVs47Xm5teVJ/hjwzU2bdtNDmtr3r9/z5gRQ/F4dJmDm/v/B1X/O3fuP6NOqwXky1+IQkVs\ncDpxFFOTCA5s7EfaNCkTuzwAug1aS2brivw8fmJ0W0BAAEXy5ebk7sF636MsKCgUK5vhnDp3SWdt\nmrubG1XKl8bz+szoS6dCiK8nM1hC/J8JD4+g26C1VGs0j4t3NNZsf0TOEiNw+iv2hzx/bN5vx1mw\nZDk5rK0BSJkyJbPnLeTW3WfcffAsXuPfffCMLgPWULzqFBq0XcLhE7diHKNpGn9deMjwCVsZNXkb\nzjc8dF5/9+4DQUGh8RoPoHABSx5enEq31oXInvYlcybU5ez+4UkmXAGcOH2fFq1+0mkzMzPDsW4d\nTp65p/fxTEyMGNy7Bm1aNuXG9esA3Lxxg7atmjKoVw0JV0J8x2SjUSG+QNM0Vm44w4JlTri6P6dw\nwRyM6FeDpvVL/etzLl97ijsuAdx55EbKlJEB49TJk7Ro1RS3qzMwMzOJsxZX9+eULKU7tpGREcVs\niuHq7kWh/JafHfviVVfq/7SY/oOG0LV/Le7dvUPPYWMZ2tuLPl2qRY/TffA6Tp51o027joSGhtCo\n/TLatShD3RpFGDZhJ9dvuaMU1KtVgu7tKvH7n39x4YobGSxS0a1dBbq2rRLjUUPGxka0aFTmq9+v\niIgILlxx5Y3ve8qUyEXGDKni3ff5C198fAPIlzszxsZGcR539boHEZrG69evY2w+6/X6NanKWH11\n3fExor8jKUyS07yRI17eb7FIn4rBvWowoIdDgownhPhvyCVCIb5g1sJDrNt+g7kLllCiVCnOnjnD\ngL49mTDckQ4tK/yrc5atNYMJUxdSzUH3j2izhnVoVS8HbZqXj7NvkUoTWPDraipVqRLdFhwcTD7r\n7Py1fxh5cmX67NhVG82hbefBtG3fIbrN1cWFyuVL43ltJmZmJuw64My4WcdwOnsxOgD6+PhQ2qYw\nwcEhzF20hKbNmvP+/XuGDhrAzu3bGTt+AvUbNsLN1ZUJY0dRuUwW5k5ugc+bAK5cdyddmpSUKp7z\ns893jM3dB89o1mkZysCEbNmycfnyFXp1qsqU0Y0+e65Xr9/SZeA6LlxxIUMGC974+DBuWH16drTn\n5eu3pE1tiqmpMeHhEXTqt5rT512xss5FRAQcOHIEY+PIy7Xnzp6lReP6uF2djrl5iq+q/WtomsaH\nDyGkSJH8q98jIUTs5FE5QiRRgYHBzFp0kLOXnLHOmROAWo6OrNu4lfatGtO2WTkMDL7+SruvbwBZ\nLWPONFlms8LHNwAAnzcB/PHnaS45PyFLJnO6tq2EbVErhvWrQe8eXfhz0zaK2djg5eXFsEH9qVQu\nzxfDVWhoGGcv3GfPkdY67bnz5KFgwQJcdHajepVCbN7lTO9+A6PDFUD69OnJZpUTxzp1aNkqsn/q\n1Knx8/Vj6oyZ9OjVG4BcuXNTqkwZCufLRUR4OGu3nMfW1oZnz55hYqSxZUV38sdzLVNoaBj1Wi9i\n1NgptOvYCaUUXl5eNHB0IHfOv+j8U+VY+2maRoN2v2JXvQHrd5zGxMSEB/fvU9uhKpNm7yNZMgM+\nBH2gdZNyFMibCbdnoVy/+xBDQ0M6d2hP0YIFqO3oiNer55w+dYoNy7slaLiCyF/SX3pAuBDi+yFr\nsIT4jAcuL8lqmSU6XP2tdJkyvA8M4bWXfxw9P69y+bzs3L5Vpy0oKIgD+/ZiVyE/nk+8KVl9Mnfc\njWjadiAZc1TCseVC1m45R4eWFRnYvRJN6tciV7bMFC2Qh1TGPqxZ3OmL4xoYJMPY2Ag/P93nLGqa\nxps3bzCLnBU6AAAgAElEQVSPujQZEhJOCtOYd+69efOGqtV1Z91OnzpF00+eJ5gmTRrKV6jIzoN3\nuHb7PgePneLG3Ud07zOMuq0XERYWHq/36fCJ22SxtKJ9p87RszoZMmRg8rTZLF39V5z9zl58hH9A\nOJOmzsDEJPJ7unL5Eqam5uw5eBSP56+4ee8RPu/TMGvRUUaOHkeKFCkwMjJi3YaNbNyylYsXzmGe\n3AfXq9OpWbVIvOoVQoi/yQyWEJ+RMUMqXrx4RVBQUPQfagBvb2+CQ4JJ9S9nNUb2r0WV+rNJlsyA\nZi1a8uLFC6ZMHEuV8nmwKWJF254raNexu87dbPUbNsbBriKNatvSrV0VurWrEnWpK2W8d/xOliwZ\nLRuXY8qEcSxY8lt0aNm2dQtv3/qRI1vkdgF1axRkzYrltGjZKnr/p5CQEN4HvOPmjeuUK//PJcy0\n6dLx4vlzLCx0Hy3k5uZBl249ox/2rJSia4+erF+3kiMnb1Onhs0X6332wpf8BQrGaM9XoADPX7yJ\ns5+L+2tKliqlc6ltzuzZLPvjD2yLFwcgU6ZM/L5qLVZZMhMUHKzTv2SpUlSqXBlrC2/ZmV8I8a/I\nDJYQn3j/PpjHT30ICwvHMktaypXKzcRxPxMREQFE7j4+athgmjcsoxNsvLz9mTBzN9Uaz6Npx6Xs\nP3IjzjHy5s7MqT3DcL1zjDo1qjCkX2caVM/G6sUdAdhzyJkevfvq9ClUuDD5CxYmY4EBmGbrQd3W\ni/HyfvdVj1Px8vbH44k3mzZtokSxoowdPZq6tWrSv3dvbG1LUqTSBI6fvkubZuXRwnxpWKcmu3bu\nYMvmTdSqVoW8OdMxa9pkbt28CUTOfJUoUZIRQ4cQEhISPc7uXTvx9PSkRevWMWooULAwT5/7xqve\n0sVzcuLYMUJDde9WPHLwIKWK54yjFxTMl4UL5y9E/8w0TePe3btUqFRJ5zgTExOKlyjJujVrdNo/\nfPjA3l07cbArHK86hRDiUxKwxHcvKCiUZWucaNjuV5p3Xsa2PZej/7B+jcDAYHoO/ZNsxYZSwXEW\nOWxHsGTFCVYuaM/lc4cpkj83bVo0pkAuK968usfcSc2j+z5/4UvZmtN54pOGIaNmUrtRNwaP38O4\n6bvjHC9fnsysWdIJj2szuO40lkG9akZvuJksmSIsLCxGn/DwCH5fuQYvP38atexJ7RYLcHV/He/v\nsVnn5RQr6YDH0+fkyZuPI0cO07L1T7h4PmbH3gNs3LqTtj1XAHBwU3+a1M7OmmUz2LpuPj3b2XB8\n5xCmjGlA3ZpVqVDahsL5cnL/7mUMIrwpmj83Pbp0xsHejoH9+mFra4vTieM644eFhXHy+HFK2ljH\nq94SNtbYFMlK+59a4uriQnBwMJs2bmDS+DGMHlg7zn5lSuQiWxYzBvTtjZ+fH0opsmXPjvNV3Uf1\nhIaG8vDhAy5dvMCIoUNxvnqVwwcPUqdmNapWyott0YS5c1AI8ePTy12ESqkVQD3glaZpxeI4ZiHg\nCLwHOmqadj2O4+QuQhFvHz6EULP5fIxNM5K/UFFev3rFdefLVCxtxapFHT97N9bzF778ttqJqzee\nkS1rajwee5E2Y37mLFhMhgwZuH3rFm1bNWNo7yp0/qkSV6974ObpRaH8WSlSMJvOufqN3IiBWUFm\n/jI3us3b2xubQvlwPjEWq2zpv+r76jJgDWkyl2DazNnRbVevXKFRvbo8dPcgRYrIS5MTxo7hvbcz\nC6fHnCn61LWbnjTp9Ad3HrphYGCAtWVWjp86Te48eXSOc7CrQP/OJTh93pV1W87y/n0QFhZpqVA6\nJ9PGNCZ/3iwEB4fifNMT0xTJKVY4O0opnG94ULvFfEaOmUCX7t25fu0aLZo0Zt6iRTRs1Jhnz54x\nZsRQPvh7sG9Dv3i/Fx8+hDBh1h5WbzyLzxt/KpUvxOSR9alcPt9n+73xDaBIpYm8C/iAeapUhIWG\nkiVLVrbt3o2VlRWBgYGMHjkCNxcXfvv9DxbMncvJE8d59fIl3duVY8KIRv/qBgYhRNLxI2w0ugqo\n9ZnBHYHcmqblBXoAS/U0rvg/t2rjX0Qoc+7ee4ibiwtZs1qS3NiUvUduceTE7Tj73Xv4nFIOU3gT\nZEm3vuOwLujAJWdPatSuQ4YMGQAoUrQovy5fyexFR1BKUap4Tlo0KhMjXAEcOHqLTl266bRZWFjg\nWKcOh47rbuJ56PgtKjjOxDhLN3KWGMmMBQcID9edcZs6uhH7d2+mReP6rPzjd4YPGUTdWjVZvHRp\ndLgCcKhRC+dbT+P1Xrk/9qJYsaIYGETOkn348IFUqWM+wzBVqlRMmLUP/5BMXL5+m5c+bxg5Zjwn\nzjykQp0ZXLvpibGxEeVLR64X+zvElrCxpmD+7OTIaY2JiQnlypdn3YaNLFm4iFQpTChjWxSrDB/Y\n8kf3z9YZEhKG01/3OXH6LkFBoaRIkZzu7aswqJcDY4c1YM7Epl8MVwDunt6YpzLH9fETTp87j/vT\nZzRu2pSyJYpTIE9usmfOxKMHD1izfgOWlpbMmjOHbbt2Ex4WzMgBdSVcCSG+iV5+g2ia9hfwuUUV\nDYG1UcdeBFIrpT5/P7kQ8bDn0G08PJ/SrWdP6tSrR7Xq1blw5So1atZi/Ky9cfYbPnEHQ4aPYe6C\nxdSpV48hw0ZwzOkUo4cP58OHD9HHla9QgUeuz2IEoE+ZmBgREBAQo/19wDtMTP7Z3PLQ8Vt07r+O\nAcMn89r3LZt3HODQ6Rf0G7lRp1/mTKm5enwsjnYWXDmzmUd3TlGpUgUaNmqsc9yd27fJnjXtZ2v7\nW5EC2bh08TLBUQu6a9SqFWPt0dOnTzl9+i+MU6Rh2YpVWFlZYWZmRs/evenTrz/FbEowdkbc72uP\n9hWY8PMoXr16BYBd1ar06tuHzJnS8uLuXOZMbvHZrQgOHrtJzhIjGT75ED/PPEEO2+F06ruC8o4z\neOxjwbvw3DTt9Du9hv7Jl2a6/fwDyZQpE6lTpyZ79uwYGhoy6uefuefiytMnTxgz2JHHnm7cvH6d\n0NBQLl64QMsmDRjcu9ZXrWsTQojY/Fd3EVoCTz76+llU26v/aHzxg/J7G0BIcDCb1q+nip0df65d\nx/ChQ1iydBlN6teNtU94eASHj19nzZaTOu1FixUjT968XDx/HvtqkTuaO1+9So7smb44m9GyUUl+\nmTmN9Zu3Rc8Q3b51CyenU6z4ZXr0cRNm72fBr0tp0LARADa2tmzduZcCuXMwepAj2bL+89DflCmN\n6dmxKj07gq/fewqU+5l9e/dQr34DAB7cv88vM6eyfumXt2eAyDVfFcvmpmvHdsyau4Cx4yfgUNWe\nZ0+f0LhJU1xdXZg5bTLlS+WiZMX6MS6v1nJ05MD+fZy7HfOxOn9r3bQcj9y8sC2cnzJlSvPy5UsC\n/H3Zt6H/Fx/74vHYm/a9V7Jp+24qVY7c3+qaszO1qldjw5atONSoAcCon8dRvUp5tu+9QrMGpeM8\nXylba+7cWcbjx4+xsvpnLdXRI4cpWyofowbWI7tleoYO6Mbd+57kyZWVAT2q0bOj/ZfeSiGE+KL/\nKmDFthAmzv/9nDBhQvTn9vb22Nvb678i8UMICw2nZu3a/LFqdfR2AosXLmTU8GF8CApC07QYQUEp\nMDAwICQkRGcjTQA/Pz9CoxaXe3p60q9XNwb1qv7FOob2qUXdnxZTpXwpGjVpybOnnmzdsplfZ7eJ\nftaepmlccX6EYx3d4JcqVSpKlCjJwuVHGT2oPmlSx9wWIG2alOxa14e2PXsxcewozM3NefjgIdPH\nNYnX5bK/rV3SieETt2NbOD8GBgaYmZrg/uAvxo06QeYM5vw6sxmeT3w4fPZOjL6PHj4gffr0mKVM\nQWBgML5vA8mcMbVO+FRKMX54A3p3tuf8ZVfSpC5DxbJ543W5beX6v2jdtl10uAIoXqIE/QYO5MD+\nfdEBy8zMjP6DhrFh+9LPBqzUqUwZ2d+R+rUdmDh1BoULF+HYkcNMnzKRrSt7ANC2eXnafmbXfCGE\n+JSTkxNOTk5fPE5vj8pRSuUA9sa2yF0ptRQ4qWna5qiv7wN2mqbFmMGSRe4ivkJDw7DIO4DbD13J\nmDFjdHt4eDh5rHNgnS0V5w6OjLVvm55/kD1PJSZOmRbddvL4cVq3aApoWFpm5eWLlwzsWYMxg+vG\n69El4eERHDx2k1PnHpIubUraNCsXY3F79mLD2H3gOIWL/LNxZUREBPlz5cTKypK7d+8ye2JzurSJ\nfYfy8PAILjm78eFDCOVK5f6qnb8jIiI4cvIOTmcfYGaWnLoONtgUyR4dTP/21j+QfGXGsGzFWhzr\nRobBu3fu0KCOI1ZW2QkK9MLN4xUmxiYYGipGDaxN8aJW7DpwnWTJoGm9kp/dQiEunfuvoXSVVnTu\nqruWbcf2bWzeuJHN27ZHt+3bu4ffF0/i0Ob+Xzzv9r1XWLziNE+f+VC8WA6G963xr+oTQnx/fpRH\n5Shin6kC2AP0ATYrpcoBfrGFKyG+RlBQKGHhETE2uDQwMCBNmjR0bB33Q4Vnj29K1UZzuH3zOtVr\n1uH+3Vvs3L6Nbat6UrRgNl6+fktu64xftRbHwCAZ9WrZUq+WbZzHdG9fheGDB7B5x27MzMzQNI35\nc+eQIWNGjp06i8ujR9Swr0TJYjli3SLg8IlbTJ13mBu33bHKlpG+Xe3o1anqFwNgUFAoDdou4fWb\nUBo1acnTF0+p0Wwei2e2plXjsjrHpk5lys61vWnWqRPmqdMTGhLCi5cvscxqye3bd7CvWpWdB86Q\nKVMmrl+7RsO6jiRPbkTHzl0JDw+jaaffadW4JDPHN433ewdQ0iYbRw8fiBGw9u3ZQzGbf95TTdP4\nc80qatkXAMDpr/vMXnKMuw+ekcs6IwO7V6V+7X+Ob1q/1Dc9mFsIIf4NvQQspdQGwB5Ir5R6DIwH\nkgOapmnLNU07oJSqo5RyIXKbhvgtGhHiM8zMTCiQ15LDBw9Gz7QAHD54EA93V969K8aLl35kyZwm\nRt+sWdJy7eRYNu64iPPNfVhnTc11p3FkzRK5YDxjhlQJUvOogXV4PGw9+XNZUbx4SVxd3UiTNi2b\ntm1HKUXefPno0bsvKzecZeF03YC1Y/9VBozaypyFS6hW3YHbt24xbFA/nr/0Z8roRp8dd97SIxin\nzMq5w7uj14h169mHGlUrU9O+MOnSmukcX6FMXh7fmEmvoeu4eseP46fPEBIcTOUK5Vm7YWP0rvav\nXr4kTdp0/HXhIubm5gD0GziYCqWLU79WUSqVi//ly3YtKjD310lMnjCOfgMHY2BgwPKlv7F/724K\nFS6Ira0tpqamrFqxHA+XW6ydN4wd+6/Sb8RmJk+fxdxKlbl69QoDRg7j+au39OhgF+dYd+4/Y/22\ni/i/C6J6lfzUr2UbvQeZEELog94uEeqLXCIUX3Lu0iN+XXkaz2e+WKRJwV8XXZg26xcq29kzqH8/\nLl+8SMtWrQgIeMu+vXuZN7Ul7VtUSOyydXg+8aZDn5VUsG/MuImTdGagNq7/k0O7lrHp939mcjRN\nw8ZuEjPmLKV61FokgFevXmFbOD8ul6fFCEkfs7GbzILf1lC+gu770KZlU+rapaNTLA9N1jSNHLYj\n2LH3CEWLFePQgQP8tmQxu/cfiD6ma6eOlC5Tlh69eun0nT1zBi9cT7JkVpv4vynAk2c+jJi0k537\nIjeLrVurBFNGNeDMhUds3nWNkNAw6tUoRO/O1TA3M6FQhfEs+HUVdlWrRp/j7p07ODrY4Xl9JsbG\nRjHG+HXlSSbN3k+Hzl2wyJCJtatX8vTJU1KnMqVpvaJMHtVEHrosxA/iR7lEKESCW7flHKMm72bI\n8FF0LGbDyRPHOHPxEWt+/4VRwwaTKbMlD9zcMTOLDBsP7t+nWpUKVK2Yn+yWX7fZZ0LKkd2CFo1K\ncejM9RiX9/bs2o59aWudtg8fQnjk+pxqDroPWs6UKROFChXk5p2n2FcqEOd4QUEh0TNMHzNPlYrD\nJ26zadc1tAgN0xTJeOQW+ZigOjWK8PyFD0WKFgUgZ65c3Lx5k9DQUIyMIoNLcHAwKVPGXJRvZmbO\ntVtPYrTHrCuU2/eekjpVCvLmzkx2y/RsWNaViIjOANHrwwrlt6RHB3udvi9e+uHjG0CVT26CKVS4\nMBYZMnDv4YsYl1mfPn/D2Om7OH/5GjmsrQHo068fTRs1xNjYmNWbT7P70E1uOE2QrRqEEN9EdtIT\n342goFCGjtvKrv2H6d2vP5Xt7Bg3cTIzf5mHkZERpUvkYcz48dHhCiB/gQI0bdacTTsuJWLlsWvf\nogIuD24xZGB/3Fxd8XB3Z/iQQdy5eZWOrXWfmWdsbESKFMY8eaIbWsLCwnBxcWPmosNMn78fL2//\nWMeqXb0Qa1ev1Gl78+YNO7bt5JmXAZ16juLZ6xBInp3lqzezfutegshBypQpOXb0KBD5XtrY2DBk\n4EACAwMByJ0nL78uXkJ4eHj0eUNDQ1mzehX3Hz777COLfl93mhy2w+k6ZCtVG82jguNMXNwil2Ym\nS5YsxuL7T5mlNCY4OAR/f93vOTQ0FK/X3qRNEzP47dh3lQYNG0WHK4hcszd4yFCePX3G7n378X7z\ngWVrnD47thBCfIkELPHduHrDAysrK4oW071RtUWr1ly4/ADft4FksMgQo196i4z4B3yI0Z7YzMxM\ncNo9FC3wAdWrlKNqpTKEvL3DqT3DSGWeQudYA4NkdPqpEsMHD4jeKFTTNGZMnYqZWSpadxrKw6em\nFK86mYcuL2OMNbK/I3t3bqZ39y6cOHaM9evWYl+xHBkyWnDk5GnCw8NJmzYdm7Ztp1Tp0hQtVoz5\ni3/FoaYDXTu258b1yCdbTZ81m6NHDpEja2bKFC/M4gVzefb0CQ3qOLJr5w62bd2CY40aWFpa8i7g\nAzWazufsxUcx6jl47CbT5h3h8IkzXHS+zUOPpzRr3R3HlgsIDY35DMbYmJunoE4NGyZPGKuz6ej8\nObMpXNCSHNktYvQJC4uIXj/2seTGxoSFhVK6TBksLCzYvOtqjGO+FweP3aS840ySZ+6KdfGRTJ+/\nn7Cw8C93FELolazBEt+Nq9c9aNN7HdfvPNS5rObn50eu7Fnp19WB52/T8/vKVdGvhYSEUNq2ML/P\naflV+0UlRUFBobTvs5Iz510oX7E8ly9fw9zcnL0HD5EtW+TjexbMncOZ45vZu75vjP5e3v4sWXGS\nk2ddSJvGFC/vt3TpNZI27dozsF9f8uTNR9/+utse7N61k1lTRvHylS8fgkIJCgomd87MDOtTgyIF\nLTFLaUzZWtP4efxkjh4+RLJkyWjUpAl58uajS4f2jBk3jtHDh7BrXW/Kl/7nmYe1WyykdafBtGr9\nk854NewrMqhbKRrXLRnre/DWP5DVG89y/oonGS1S0riuLaOm7OL9B0XFSpVxvnqFwIA3HNjUX2eL\nDE3TCA4Ow+OJF/YN5uJ8+x7p06ePfq17l85kz27FmHHjsM5mScE8GTm1d+i/+0ElooPHbtJ14J/M\nX7KUWrUdefjgAcMG96OAtQm//fJ16+GE+BHIGiwh4qF4MSuUFsKunTto3OSfLQDmzp5JA8eSnL3i\nxr2H5+nTsycdOnXirZ8fkydNJGc2cyqVy5uIleuHiYkRW1b04P6jF2zdfYnbtwxxvnlLJ2x269mL\n8WN/Jjg4NMYC7wwWqZgwoiETor5u33tV9KW+NGnS8uL58xhjvnj2nLy5MhAeFkaGzDlp3a4D/n5v\nmTR3Li0bFmPK6MY0qVeKE0cPsui3ZWTPnp3r167RsV1bho8aRdv2HQgPD2fynN84sOmfBzx7PPam\nePESMcazLVEKd0/vWL//Fy/9sGswG5sSZanbuAcebq781H0xU8Y0JJeVBXcfPqdh1arUrFokemPT\n0NAwJv+yn6WrnXjrH0De3JZULJcb+4pl6T9oKBkyZmTThg24urgwa85c/li+HAV0bF021hqSuom/\nHGD+kn+eFFC0WDG27Pj7SQG1k9Q6RCF+dDKDJb4rl53dqN9mMXZVq1G0WAlOHj/Mi2fuTBxej4lz\njzPzlwWMGTWS58+fk8LEhOzZs1Mwd3J+n9fhP6nP6a/7rNxwjjd+H6hcLifd29tF7+SuT+cvu9Br\nxE4uOus+tub9+/dYZrTAz21xrHfQfezA0RsMm3SAU+cu8eL5cxzs7Thx+gx58kaG0VevXmFfsSxV\nyloRapCdFWv+jA5zPj4+lChSkNN7h2JtZcHoqTv5fc0pUMlIlTo1I0aNomv3Hiil8PLywqZgXnxc\nFkaP3bTjUqo5dqBrjx7RbZqmUaG0LTPG1KJm1SJ8qseQdaRMb8P0Wb9Etz188AC7imVxd55B6lQx\n11x1HbiWJ6+SMXfhEnLnyYPTiRN079yedi1Kce/Ra/664EqKFClp1qIFN65f49Kli5QvlYv9G/t/\nd9s2aJqGUaau+L0PjL4J4W+N69WiZ5tCNHAsnkjVCZE4EnMGS9Zgie9K6RK5uHd+MlVKpuDdq7N0\naVmAayfH4uLxmvwFCtOlYwdat2nL1h076TdwEI8ePeLYqXv/SW0zFx6k04D1lKjQjA49RnHTxYAy\nNaby8tVbvY9VtGA2vL1ec+bUKZ32Zb/9Ss1qxb4YrgAcHYphXz4HpW2LsGnDekqWKkXp4ra0bNqY\nrh3bUqJoQbr8VJZb91/RtUdvnZmy9OnT07hpU/Yevk7y5Ib8MrE5G5Z3I1dOKx64utGtR8/o410e\nPSJzJt0HUg/t48DkCT9z+OBBIiIi8PPzY8TQQRgQhINdoVjr3bXfmZ59+um05cufn3LlynLUKeaj\nfZ4882HXAWfWb9lOnrx5UUpRtXp1fvt9FfuP3GHH6l48vTmDfl3Kcemv3RhEvGb9b505uHnAdxeu\nIPKXfJbM6Xj44IFOe0REBC4uLmSNZT84IUTCkUuE4rvx7IUvqzb8hedTP2wKZ2H0oLrRsxYZLcw5\nc3ovq9b+iUPNmgCUK18eGxsbWjVvQkRExBfvSvsWz1/4MnPhQa7evEvWrFkBaNCwEcMGD2Ta/AMs\nnN5aL+MEBAQxZPw2Nu24QESERuMG9enUpTO2xUtw4thhTjsd58TOIfE6l1KKxTNbc8nZjd0Hr1Oi\noCFDu/XD44k3oaHhTBs2luyW6dl96CZhoaEx+oeEhGBo+M97Wrt6UQaO2cz6tWtp3ylyL2F/f39+\nHjWMbu0q6vQtXzoPqxZ1YOSIfnRo601YWBj1a5fg4Ob+cf6clFIQy+x2bM+bBLh55yklS5aIsT1F\nNQcHbt31ICIiguTJDRna15GhfR2//IZ9B3p0qMKwQf3ZsnNP9JMC5s2ZTWozQ0raWid2eUL8X5FL\nhCJJCg+P4H1gMOZmJiilOHX2Ps07L6Nx02Z4+/hy2skJ/3f+lLTJzdTRDchgYU7l+nN44eWt88dW\n0zTyWmfj+PYB5MuTOcHqXbn+NEfOvWPN+s067ffv3aNxXQfcnKfrZZx6Py0iTYb8TJ89lwwZMrBt\n82YG9O1NCZsc1K5WkE4/VfrshqOfCgkJ4/a9p5ibmZA3d+zvz+xFBzlzNYDNO3ZHh58nT55QrqQN\nzifG6iwmv/vgGY3b/0ZK87TkyJGDM2f+om6NYhgYJGPf4RsYGCSjSb0STBzRAIv05miahs+bAExT\nJP/i5p69hv6JUapCzJ47P7rt3t27VLeriLvzjBh3Xt66+4T6bZZy18Ujevd6gNu3btGorgNPbs6O\n9/v0vQgLC6f38A3s2HeVcuXK8ujRI1KlNGDbqh6x3lUpxI9OFrkLESUkJIzxM/fw+9pTBAWHkDVz\nekYPdmTy7H38sfpPDh48wOtXr9m1bz/58ufn4IH9tO4+gF9ntUKLCCMkJARj43/+UIeFhRH0IQhT\n0+QJWreRkSEhwUEx2oODgzEy0s8/sxu3H3PzznPuuZ7H0DDynM1btSK5iTELZo1lSJ/aX3W+NZvP\nMXLidiwyZMD3jS+WWdOwdnFH8ufNonNc367VOXB8EdUql6NF6/Z4e71i1R/LGTukXoyHWRfKb8m9\n85M4fe4hr739mTh4MI3b/0bTlu04d2UN4WFhLJj3C1UbzuHikVGYmhpjkT7mBqixmTiiAXYNZtPc\n3ZV6DRrj7ubKyj+WM2dS8xjhCqBooexYZUvDpPFjGTthEoaGhvj6+jJ4QB/6dKkaywj/jfuPXrD4\nj5Pcd3lN3pwW9O1alcIFLPVybkNDA5bPbcfPg+vgfNMTy8xlKVU8Z7weVi4STkBAEIdO3CIoKBQH\nu8JkzpQ6sUsS/wGZwRJJSpcBa3j5xpi5C5eQw9qa8+fO0a51c1KkMOXQcSfKFLflvqsbqVL986zA\nbVu3sGzhFIyTG1LNsRWDhw6Pfm3JwgXs2voHp/cOS9C6ff3ek7vUKE6eOU+BggWByNmzLh3aYp3p\nPVPHNPnmMdZvPc+ek96s3bBVp93Pz4/8uazwc1sc73OdPHOPDn3Xsn3PAYrZ2BAeHs6K5cuYO2sK\n985PxsREdw1XaGgYuw9e49jpB6QyM6ZNs7LYFIn5MOpPzV50kOuPkrFy7Xqd9sb1atO0djY6t6nM\nhSuunD7/gPRpzWjWoDRpUsdcrP63gIAg1m75H3tnGRfV1sXhZ+hSQkQQsQNFRbHFVgwUsRMLsbu7\nu7s7wRY7uLZggigooYSUCtIMDDAz7wfuHR0HE7z6Xuf5/fzgPnuvs88Zzpw1e6/1X564nnzEi6Bo\nsrKyUVdTxaVPI+ZPdURDQ96ZffM2iZ5DdvIyJJay5cri6/s0p+bhgm6yTMN/kxt3Aug2cBtDR4yi\nbj1bHj64x+YN69i/eQCtmlX51+ej5Odz5qIPvYZtQ9VAE6mKgOxYIdPGtmPWhPa/emp/BL9yBUvp\nYCn55cS8SWTV5itc8PAnMvo9oZHRcmrs2zZvZv3aNSxZsYJ9u3dzwv2M3Pj09HSKGBkQcG8xdp3X\nUMagOC8AACAASURBVKZcRerWb8TD+3d54f+UK8fHfnb760dITknn6OkHREYnYFO1BG1bWqOqqsKB\no15MmHWM3n37UcyiBKdPHCFLFM/VY2MpkMsKy/fi+SAY57FuCjpgN65dY+r4IfjcmPXNtjr220Jr\nRxf6Ow+Ua3do3ZwBXSvQs3PdPM8XoFP/rXRxGkfnLl3l2ndu38bjO0dITE7n6fO3tGvfgajI19y4\ndo1D21xyzSL8hx0HbrF66232HHCluo0N4eHhjBk+hOKmEratcsp1zIugaKJiEqhSsRhFTH7N6oFU\nKqVa4/nMWrgah/aOsnaPK1eYMHoQL7zmK1ea/mNExSRQvu400isVBP2/V9FFYnSeJXFyx/Av/p0r\nyR+UWYRK/lhi3iRS334pItXSuAwdh03NWnLOFcAAFxdiYmJ49/YdISEhfOqAh7x6RRETQ0qVKIzf\nnXn07VQWccpjejiU4Lnn/Hx1rh75hFKhzkzO34gjU92KRetvU7fVEuITUunTrR6eF6dQQCWUEL8L\njOxfjVtnJuWLcwU5geEF9VSZP2cWmZmZAISHhzNp/GhGDW7yXbZCwuOolqsOVS1CwmPzY7oAmBjr\nERoSotAeGvKK1xFxCDML4uMXwLKVqznodpwjJ8/Qe8hO0tJEudqTSqUsXXuJ7bv3U90mZ/4lSpRg\n3+EjHHN/8NmMzYrli9KisdUvc64gpw7i29gU2rZzkGtvbmdHhkhC8Ku3v2hmSn4WB496Iims+cG5\nAtBURWimybqdV3/dxJT8KygdLCW/lFWbr9DOsQsr16ynuZ0dL4ODyc6WL5USHBSEtpYa82ZNIyU5\nmS2bNsqcLKFQyNSJ4xjctyGQI8bZu2s9Fk7vRN/utmhrf1vsVUJiGrOXnKZakwXUtlvC8vUXSU/P\nlOsjkUjoNWQnazZuxe2EO3PmL+Cm50Nq1m3O1AWnAChbugjzp3Vg0/JedO9YR2HLKi8IBALc9w/n\n4d0LlCtRDNva1ahXsxq9OlZmwCe1C79GZcui3LklL/EglUq5c+sGlfMpHghgYK/6bF6/hlcvX8ra\nnj19yv49u3kdncj02fPQ0PjwGdk2aECt2rU4e/lJrvbS0kS8eZdArdq15dr19fWpXNmKgOCYfJt7\nfiEWS9i8+xrtnbaQnpHJYGdngoOCZMclEgkZGSI0NZUhsf813sQmI8pN8UNLlZh3+S/fouT3Qulg\nKfmleNwKpEevPgBYVqxIhQqWzJw2TbZCExcXx5iRQ5g0qg03zkykqW0pliyYh3UlS3p0caRC6eKY\nFxYzZfSPp9mnpKTTpP1Kwt7psX7rAZas2sYd71Tse26Qq+F2/3EImtoF6NDxQzyVQCBg2qw5uJ7w\n+mxh47fvkjh0zItj7g9JSclbTUQzUwOunhiL16UpbFriSLjPMqaOsf/uraXxQ5uzfMlCzp89i0Qi\nISUlhdkzppKWHEvbltZ5muPH1LIpzZzJbbGtU4NODq1xaN2cVs0asX5pd0SiLAoXVqwdaVzYhOTP\n3CcdHQ0K6GkraD1lZGQQGBBECYvfT6l86MSDHDodxNJVW7l7/wFly5ejRZPGsmvYv2c3JUsY55rl\n9y42maf+EQiFua/oKfm9aVy/AnopEgV5EY2ELFo2svpFs1Lyb6GMwVLyS2nYbiUTpy+ltb09ALGx\nsbj078fDBw8oVboEIa9e4dy7Ictmd5YFJUskEu7cCybmbSI1q5WiTCmTPM1h/farXH+QguuxUzJH\nRSKR0LRBHSYPr0endjUB8Ljpz7zVt/G46Sk3XiQSUahgAdKjtikIVK7ceIlFa87TrFlThEIhD+4/\nYMe6fnT6TK29f5OrN/yZPPckYRGxiMViWjWryoYlPX5KhlNikpCTZx9x7XYASalZFDc3JDImnmq1\n2zJ91hxZv+TkZKzKl8br4tTPfq4LVp7Fw/MNh46cpHDhwqSnpzNlwljeRDzB/cCIfJ97XngRFE3z\njmvxC3qFru4HRf/5c+dy+OABNNTViIuLZf3ibvTuWl92PDFJyJAJB7l6ww8zM1PevnnLhBGtmDqm\njTJO6/+I7GwxtVrOJyAhAZG5NqgKUHmTjkGSBL+bC5XZhP8CSpkGJX8sTl1rsnzpAho3bYq2tjaF\nCxdm/qLFtGzWmNljG2FbZyCFjORjslRUVGhUv0K+zeGv2y/p0X+C3ItLRUWFrj364HHzvMzBqmNT\nmufPtxPy6hWly5SR9T3iepgmDSsrOFd/3XrOpj13efz0OebmOdtuPt7etGvVgprWJRUkDv5t7JpY\n4X29Eu/jU9HSVEdPT+uL/T0fBLNw9SUePH6JmakRg/vaMmJgs28ScI1PSGXuinM0t2tDr25tCQ4M\n4PjZddz2XE1GRgYdO3clMjKCpQvn0rNT7S86zdPHtSUp5QRVK5ajXNkyhISG0bBeefZtHPC9t+CH\nyMrKZq/bXY6deUJWlhiHllYM6dcEXV1FHa9bnoG0atNazrlKSEjg1InjlCxVir79+hETE8O0het4\n8y6FCSNaAdB76C7MS1YnOOwSenp6hIWG0qNLB/QLajPc+ddJTCj5PtTUVLnlPpW5K9w5cMyTzMxs\n7O2sWTy9s9K5+gNQrmAp+aWIxRKcR+/jpudLHDt1IS72LZcuXmTrKie6tq8l65eZmY26uupP+fXu\nNHQXtRv3YMiwYXLtc2ZOB6EfS2d3kbVt2vUXKzffYPqsuVSsZIXHlUts3rCOC26jqVm9lNz4XkN2\nUq9JTwZ/YnfsqOEUM4xlxnj5YOffmTv3gujcfysLl66gtX1bXgYHM2PqBGpVMWLd4h65jhGLJbyP\nT0W/oDZ9R+zByqYNU6bPkB33e/aMZo1s6dTWhsfPIjEy0MW5V136dKv/TZ9zfEIqgS/fUKyo4TcX\nMQ57HYdIlEW5MkV+SNlfIpHQqf9W4lPUGDV2IpoamuzasZU3UYFcPzVBQSz16OkH7D4aiPuFDwHN\nc2bOJDo6iu27dsuuMyoqilrVKvP01lxSUjNo0WktASGv5WoKPrh/n4F9uhL0YOF3z/tjMjKy8HsR\niaGBbp5Xf5Uo+d1RyjR8hNLB+jN5/CQMj1v+FNDTpotDTUwK5+hcHXV/yIJVFwgIjKCQUUGG9m/C\nzAlt87VW3JXrfoyYeoKbng8oVCjnRR0eHk7jerW4emIslSsWU+i/ec/tv2UaLBg/rAWWn4hzAth1\nWceoCQtp1UY+PmzNqlW8CfmLtYtyd0x+R1p0XoOT8wR69v4gg5CUlETFsiXxvTmHYkWN5PrvOHCL\nRasvkCYUIRaLycwU4xcYhJmZ/H1qULcOIS8D8Dg5kepVS/y0+fu9iGTg2AO8johHS0sTdTVYv6Q7\nrZt/n/bURY+nTFt8mTv3vVFVVeXGtWsEBATgenAf/bpaMWJgM7n+QqGIUjZT2XfoKE2bNwegWmUr\n9uw/IMuC/AeX/k7YWqtTrKghmw/4c+rcZbnjEokEXQ11xLG7f/iHxta9N5iz1B1TM1PiYt9TqoQx\n+zf1p3RJpaOl5L+JcotQyb9KbFwy+494EhGdSPUqxejmWPubs+1+FjWqlVSolXbszEMmzz3N1p17\nadKsGS+Dgxk3ajgjprh+Vu/oe5BIJAgEAuyaWNHdMZjqVpZ06NSJzMxMzrifZv5URwXnCqBl08rf\npF9jW6skZ91PyjlYUqmUs6ePM9alZp7n/2/ieT+QI+4d5Nr09fWxta3P/cchcg7WXre7rNh0A9fj\nZ7GpUYPo6GiGDXJh4rixHHKTLyWkrq6By9CR9B66C/+7837KCmVSspBWXdcya+5iWY3EqZMm0WvI\nbgoW0KSJbQWmjWmtoGCfGxf/8qdH7/7Ex8fT0aEdYrGYuvXqkSHKYv6K83S0r05RM0O5Z8y5d336\n9u5GzZo1MS9mwds3MbkmROTUyxRgWc4M78cHEYlEclUJPO/exbK8xQ/fo3OXn7Bsw19cuX4Hy4oV\nyc7OZtP6dbTpvg7/u/P+LwtcK1HyO6PMIvzDuHMvCCvbOTx9pU7Rsna4nQ2netP5RMck5MmuWCzh\n2q3nuJ64x6vQd/ky10WrLrJ5+26aNm+OQCCgXPnyuB4/xfEzD4nKw3zvPXpF805r0DAdhGGZUYya\n6srkUa25c34Slhap2FQQ43tzjsJqxPcy3LkpVy+fY+6sGYSHh/Pi+XMGDehLdmYCHeyr58n2j3D4\nhBdl60xB3XQgJWwmsvPATQVNsc9R2Fif8LAwuTapVEp4eDgmxgXl2petu8yWHXuwqZETyF+0aFFc\njx3H4+pVwsPDZf3u37vHq5fBTJ85C7FUDW/fcH4Gh47fo36DRgxwcUFVVZXxY0bz4P59Drq6cfbS\ndcpY2dG4/QpeBEV/1Za2ljrJSQmMGj6MZs1bcO/RY9Zt3MQDbx8GuAzGZdxB7twLonKDD8+YzwsR\nBgW1adfUlGrlsujmaMOm9Wvk7n14eDgXL1zAoVU1ypYuQoO6ZRkysD9xcXFAznbqiCEDmTSq5Q/f\nh3U7brBgyXJZpQE1NTXGjJ+AsUlRLlx9+sN2lShRkjvKLcI/CLFYQvnaM1i1fjtt2raVtc+ZOZ3w\noNu4bh/0Q3ZfBEXToc9mCugbUapUaW7evEX71tXYurL3D/8qFoslaJi6kCrKVIiVadeqGRMG1/ju\n7R3IKQDcvONqlq5cQ9fuPYiNjWXerOmEBntz88zEfF9BeR35nvkrz3P+ii+amup0c6zBzAntcq2d\n9zPZuvc6ExceQ1hKBww0IUmEdqiQacPbMHPc12PB5q84i9eTFNxOnEZLKycYft/uXaxZMR//u/Nk\nn1F2thitooNJFWUq3MsmDWyRAn369sXvmV9OiaMdO2nr4ECT+rVYOsOOxraWebrON2+TCAl/R5mS\nJjJR0XEz3DAt04Kx48fzMjiYZo0a4h8UTIECH2ogrlqxHP/H5zi01eWL9n2ehmPfYwPCjCxCIyLl\ngtczMjIobWGGnq4m6zbtUnjGXgff4fA2F5KShbTotAaDQsXo3K0nMdFR7Ny2hfHDmpOalsGR096k\nCTMw1Ncl9PU7ChbQQyLJZsb4tnkKcC9bcwbuF69Rtlw5ufbxY0ZSvmgiY4b8uPOmRMnvilLJXcm/\nwkOfUHT09OW++AHGTZyM+4XHZGVlf2bk5xGLJXTos5kJU+Zw98ETDh45ScCrcEIixazafOWH56qi\nIsC0iBGBAQGfnE9MUGAQxYoa/pDd5RuuMmHKdHr36YuGhgbm5uZs3bmHhGQx12+/+OH5fo7ixQqx\nc21fYp6vIsxnKcvn5l6YOK+IxRLOX/Fl7dYrXPrrGWJxzhbU+/hUHnqHMG3hcYQV9KCQFsRmoBuW\nRbZQzKKV55kw6yiZmV/+7KeOaYNRASEVy5Skv1MPGtaxYcWSOZzcN0zOAVZTU8W8qDFPfX3lxmdl\nZREeFk7LVq14/OgR1zyuMnvuXNo6OBAYEMDLl6+o9UmSwPeQnp5JvxF7sGowm/FzLlKx/iwGjtlH\nRkYWluVNuXc3R1T1zu1b2LVqJedcAXTp1p0bdwJyMy1H9aol6NOtDupqanLOFYCWlhb6BfXR1NLN\n9Rk7ff4R2dli9AvqcPvcZHo5lsbr2iGS3tzn9P6hnPfw40mQhJ37j3Hu8g1atOmEfkFt3A8MJcxn\naZ6zB60qmnP7c+Kyf2+Fh4S947ZXEO/jU/N0LiVKlChjsP4oMjOz0dFWfLlraWkhkUiQSL5/5fCW\nZyC6BQzp91FNO11dXRYtW0nfHh1+WABUIBAw3Lkp40YPw+24O/r6+oS8esX6NaspYWGYa2zUt+D9\n9DXjZrSSa1NRUaG5XWse+4bTrFGl77aZkpLOlj03OO/xHC0tdbo7VqNvd9t/LaYlMjqehu2XEp+e\njkhXFc1UMYX1dKhfswJnL/tQvLgFogwJWrFiMlLSKByvievJU9S3teV1eDhjRw1n8PgD7P2MzIFI\nlMWh414I07OoXtUCY914+k9pQYvGlXItmDx6UDNGDx+M2wl3zMzMSE9PZ/rUKVS1rsqMWbMBaNms\nKSkpKezdvYslC+aycEZHhQy872HMjCOkZRciMOQ1BQoUIDk5mUED+jJxzjGWzOzI4jVz2bhuLUXM\nzHgTo6j2HhMdjaGBXi6WPxD3PoVj7g8x0NdGQ13APS8v6tarJzvu4+2NMD0Ni0IWCmO1tLQQi8Wy\nZ0xLS50BvRoyoFdOBYILV31JShVw/q8TMod10dLlpCQncfrCE2ysS/7orZExaUQLujpPp1gxC1q0\nbElSUhIL5s5CS0NMlYrm2PfYgLdvOKXLlCIgIJCBTo1YOqvTLymKrUTJfwHlk/MHUdumNGFhYQqr\nCwf37aOxrRWamuqfGfl53sYmU7p0aYX20mXK8DY28YfnCjBldGusymhTrqQFJc3NsK1Tm5MnjvMu\nNvmrqw2h4bFs2X2NXQdvEfc+RdZe1MyAFy+eK/QPeO6HuZnBd88xJSWdxu1X8vB5NpNnrmDg8Bns\nOuJP76G7vjm+Ka/0GLKVSPVMUqrok1laj5QqBQmVpnPxxgueB4fywMePV68jqFu6GnrRYvbtO4Bt\ngwYIBAJKlCzJQbdjnLviS3hEnIJtkSgL+54bOHAqmI49R9Oh+3DuPn7L4RMPUFHJfTt13DA7WjQo\nhk2VilSvXImS5kWJioxk78FDQE48kffjRxx33cXlMzvZta43Q/o1/uHrT0wScsz9ARu2bJetTBUs\nWJANW7Zz+MQ9AK4eH8f503sZNWwwXp6eeFz5sLoqEolYOHcW/brX+ew5Tl/wpkLdmdzyzuBdWjGy\nxdC1oyOuhw8RFhrK0SNu9OjsyKLpjrx+HZ7rM9a0YZXPlk665RVM+w5dFbbDO3buxk2vVz90Xz6l\nQd3y7Fzbh2kTh1G0sBHlSlqQ8MaXC66j6D10N+UrNyQ4PJLrd+7zLOAlXj7vWbnp8tcNK1GiJFeU\nK1h/EFpa6qxe2A1H+5aMmTCZypWrcO2vqxzav4fLx8b+kM06NUozapobqampckWaz51xp27Ncl8Y\n+XXU1FSZO9mB42cesWjpMnr2dkJFRYWL58/TbWA/7l6YolDIWSqVMnupO1v33qRtu3YIhUlMmjuD\n9Ut64tS1HiOcGzFl9gzq1K2HhYUFUqmUY0eO4PfMl467usnsxMYls23fTR74RGBWpCCDnGwVdK4A\ntu+/ScmyVTjgelQWc9S6jT11a1Tlxp0AmjasmKd78DVi3iTy2Dcccd2PyqwIBEhL6pHiFS9z8oyM\njNi77yAVSpfCpqZ8BqOuri41atjgHxClUK7l4DEvUDXkwuW/ZC//rt17ULeGNTfvBtKkgWLMlIqK\nCgund2DSyJZ4PXjFiKmHQZrNWffTvHoZzJ6d29m2ug+9OtfNn3vwNhETk8IYGclLRZiYmKCvr8+7\nuBTKlzXl2qnxvItN5s79IJz79qRGzZoUL1GKi+fPUb92KcYOtcvVfkJiGgPH7OPcJQ9Z4P68hYtp\nVK82a5bPYW6SkHJlTNmyojttWlRFU1OdDm1bMWb8JKwqV+EvjyscPrD3i8+YkYEOLyMVg/yjoiIp\nZKSby4gfo21La+ztqhL3PgUdbU10dTV5ERTNi6A3nL68HDW1nFeCsbEx6zZuxdG+BZNHtVaqxytR\n8gMoV7D+MHp3qYf7gWEEPrnAmmVTUckI4P6V6VhXLv5D9kqVKEzHtjZ0dmzLo4cPiY+P5+D+fUyf\nPIE5k9p+3cBX2Od2l5at2+DUtx+qqjlCo/bt2uE8aDBb9txU6H/R4ylHzzzjiX8g23bt44DrMa7d\n8mTcjKOEhsfSwd4Gl161qF29Cq2bN6KmdSUWzpnMucOjZFIVoeGx1Gi+kJA3BegzaColLFvQ3mkz\nuw/fUTjfpeuB9O0/UO4FpKmpSfeefbj4l1+er/9rJKWko66pCp+uJqkIUNNUJyU5WdZUpEgR9PX1\nuX3rllzX7OxsXjx/kauy/JnLfjgPlo+z0tbWxqmfM+4XfRX6f4x+QR1at6iC7405tGpgxO2r+xGn\nPOPGmYn55lwBlChWiLi490RERMi1h4aEkJqSgrnZh3g9k8IF6dSuJiGPl+LUoTRWJYWc3j8E1+2D\nUFNTlas9+Q8nzz2mWfPmMucKcrb8lq1cg5amBmE+S7l6fCxtWlQFwKlrPU7vH0rA38+Yqijwq89Y\nry51OXn8OL5PPhS5jouLY8XSRQzokX/3CnK23wsbF5Qpz4dHvKdipYoy5+ofrCpX5s3b+FzviRIl\nSr6OcgXrD6SWTWlq2Shu6/0oW1b0Zs2WKzg7deZtbCJ1apTj5L5h1K9dlqs3/HE9+QhheiatmlrS\nq3Pd79qKDAqJo1adjorXUKcee7ZcU2jf63af8ZOmYmz8YSWmYqVKdO/Vi0PH7zFzggOTRrVmUN9G\nnLnkw+VrUiJjNFi+8QpD+zWkUf0KzFjsjvOg4UybOVtmo51De5o2rEdXhxoU+ChIXUdbnaTkJIV5\nJCUlUlD7+7dcv5eypUzQUFGF5Ewo+JGWWVIm2praWBT/8FKPiIhAKExj6cJ51Klbl8KFC5OZmcmM\nqZPR1hIwed5pdLTV6dmpBp3a1UAgEKCmqkrW34W3PyZTJEJN7dt+n+npaTHcuRnDnfN8ubmio6PJ\nyIHN6NuzK1t37qWCpSUBL14waIATY4faoaWl+Dno6mrSq0tO/FRWVjZzl7mzZc8N4t4nYVrEkK6O\nNVg8ozM6Opokp6RjXFhRiLOQsfFni3d/7zNWrKgRW1c70bpFExo1aohegYJcuniR4QOa0q5V/hXf\nzg0ry6L4+OxSWIW+ffMmluUtUFdXviaUKPkRlCtYSvKMqqoKE0e2JvD+QhJDNnL52Bhs65RjyrwT\njJh6giq1OtCy/SAOnAymRec1CIWib7ZtWdaEe563Fdrved6lYjkTMjOz8XwQzCOfUCQSCQlJ6ZiZ\nFVXob1bUgvgEoez/kdHxTJ57ArNS9Zgxby11G/fAadhetu27ydlL3gwaOlxufAVLS6pXr8aNu4Fy\n7T071mD96uUIhR9sR0REcPjAfrp3rP3N1/mjqKmpsnZBT3QCUiBGCGlZEJ2Gml8ihYz0ef237lRo\nSAj9nXowZnALmtQzo2rFcjRrWJeyxYtxxPUQ5StWo//QabTpOJgFa64zdOJBALq2r8aWjWsRiT58\nZvHx8ezfs5Oujr++YPU/zJnsgEOLkrRq1hAzY0PatGhE17YVmD7O/qtjh006zM0H7zG3KEWVqtZ0\n79WfJwGZlKw+FZ+n4bRoXImzp0+RlpYmN87t8EHsmny/rERUTALPA6MUsna7OOSsrHVpbU7jGlo8\n/msm86c5/vTtOQvzQrRvXZ2+PbsRHhaGVCrFy9OToYMGMG1sq68bUKJESa4odbCU/BR8/V7Ttucm\nHj19jqFhzhaNRCKhW0cHmtczZOzQb9PciU9IpUrDucyYvZB+zs6oqKjgfvoUo4cNZtZEexavuURR\n86IIhemIs9Jp1qA86RRj++59MhtisZjG9Wsxe1wTHFpXA6C90yaatnJi+KhRsn4vg4NpVL82YrEY\nH78AihaVd9TsmtgybWQ92VbQP9c0aNwBrt99RbcevUlLS+WI6yGmj23z2Zien4HHTX/mrT5D8Ku3\nVCxvxswxDty+95JNu66hrq5OVlYWI12aMXNCO1RVVXgfn4p/QBQXPZ4RGKHG4aMnZC/y1NRUalat\nxNGdzthYl8Rp2C6eBcTh1G8gGenp7N21nR4dbVg6u/O/dn3filgsISlZiH5BnW/Kfnsd+R6bZgto\n36EzKioqbNyyVXYfjh5xY9GcKTz3nIfT0F0EhqYxc858TIoU4dgRV04eO4znxakKZYI+xdfvNWcu\nPSElNQOvh2EEvIzBwECfdGEai2d1pFkDSy5cfYq6uioOraphXKjAF+19jEiUhbq66g/VVfyYzMxs\nZi91Z+eBW2RmZWNqYsiMCfb0614/T3aVKPnVKGsRfoTSwfpvMH+FO0nZpVm8bIVc+5VLl1i1ZCo3\n3Md/sy2/F5EMnXiYgOBoVFVUKVbUkBHOjZix+Awnz17EpkYNpFIp58+dZejAfhQsoEPrdp1wdhlM\nWloaq1csJel9KB4nxqGqqoJUKkXTbBBv3icoaBm1atYQLbVUKlRpwvJVa2TtD+7fp3P7Nrz2XaGw\n5SSVSnngHcL5K0/R1FSjm2MtheD7fxOxWMKKjZfYuvcWkVGxVK1cijmT7HFsY6PQt4njaiZOX4Zd\nK/mVijkzZ6CR9Zz50zoikUjwuPmcs5efoa6mQrcONalbs8y/dTk/lTMXfdhy0J+7d+/z9EWAXK1E\nqVRKjaoVad2kDHvdPLGqXJWoqCgS4hMoX9qY43uHfdG5kkqlTJp7HLeTj+jcrQdH3Y4weNgwJk6e\ngoaGBt6PH+PQuiViiZi27doiEon4y8ODVQu6MaBngy/O+8p1P2YuOcuTpyHo6mrRr0cDFs/okCep\nC8gRik0TiihYQFsZ2K7kP4GyFqGS/xwCgSDXemtisZjv/d6uXLEYd85PJuZNItliMcWKGjFo3AFG\njZsoCzwWCAS0c2iPfTsHSpqkkJwSQq8u7dDQVKNHhxqMHzZKbkVDU1OD1NRUBQcrNTWFMWMaM2PR\nKToGvqB1W0eCg17gduggu9b1yzWeRyAQUKdGGerU+D2cjtHT3PB/lc6x0xepYGnJlcuXGD58CGqq\nqrRtKR/Po66uQnqGYhxReroQPZ0cHS8VFZVvrr/4/4RUKiUuPgVv7ycIhUJZoe9/EAgEGBkZscf1\nLve9n1L873i2hIQEmtjW4dnzyC86WFeu+3H2SgCPnj7H6+5dHtx/yPSZs2THU5KT0dbV4869+5ia\n5jjkwUFBNGtYn/o1y3y2NuItz0D6Dt/Lxm07sG/bjujoaGZMmUg3l+2cOzwq1zHfipqaKvoFdfJk\n43dALJbwPDAKDXU1ypc1VTqLSn4JSgdLyTeTlCwkNi4FC3Ojrwaqd2pXA7vOa5kweSqFCxcGnH+t\nDgAAIABJREFUcpyrzRvW0sXhx4J2zUw/6FSFRybQoaeincpVbYgMusy6xT1Zs6h7rnYEAgHdO9Zl\n+ZJFrFyzTvbl63HlClGRUTi0qkarppVxPXmfB49OYWZSgIceMylZ3DhXe78TkdHxuJ26z4uXYejr\n55SKcWifE8czb8EUBQerm2N1NqxdSes29mho5ATJR0dH43boILfOTvzX5/8zkUqluJ64x5a9d4iM\niicjMwtdXV2qWFfjwb37dHBox5nzF2TZdOFhYTx58oyBgwbJnCsAQ0NDRo2dwIFjh+S2iz/l0PGH\njBg9HkNDQ16+fEnN2rXkju/ft5fxEyfJnCuAcuXL06dff0ZMPkS5MmZUtSqKU5e6cokVS9ZdZtGy\nFTi0dwTAwsKC3fsPYVWuFN6+YfkiSvr/zIWrvjiP3YMwMwuJWIJp4YIc2TZMoZj8P4S9jmP7/huE\nRsTRsE55+nStJ3e/lSj5UZRB7kq+ilAoYvD4A5SsPoWW3TZS3Hoyy9df+qKQppWlOYP7NqRBbRtW\nLF3C9q1baN6oHtKsOFycGuV5TtaVzLh+zUOh/cZfl7G2Mv/q+KWzOnL+zHEa1K3DimXLcO7XD6de\nPcnKEnPR4xk6OpoMdGrEtlVOzJ3imK/O1evI9yxafZaxM9w45v7wh0oUfY4nz15Tu3YtmXP1D63b\n2PPYJ1jhMxvQswHGBcXY1q7OyuXLmD1jGra1qjNxhN1nV1D+X5m/4ixLNtxi3JTFnL18nQmTp5Oc\nLGT23PmERkaRmppKJ8f2PPX1xc31MPYtm1G9agmKmisqsxcyNiYlVT678s69IAaO2UeHvltYtekS\nCUnp6BvkfA6WlpZ4eXrK3f/EhATMiyn+rZpblCA2UYCljSNX7iZg3Xg+Ya8/iMD6PA2jWQv5+D41\nNTUaN22Kz7PXebpH/+/4B0TRbdAW3pmrk1rDEGEtI0K0s2jeeXmu5X8uXPWlcqOZrD5zhyPPA5m8\nwZ0K9acTGR2f73N7H5/KLc9AQsLe5bttJb8nSgdLyVcZOHY/yaJC+AeF8OJlONdu38PV3Z9NuxRl\nEj5m7pT2uG4fwNuwWzzxOs74wXW44DbqhxTjP2WkSzMO7d/Dnp07yczMJDk5mYXz5hAU8IweHT+v\nyP0PerpapKZm0L1HTxLi47GpUQO/gED2Hz7CtIWnv0uFXSKRcPCoJ627r6dBuxXMW+5OfELutdxO\nnHtEjWYLiUo0waxMC9btekyDditIShbm2v97MStiQHBwsML2bFBgIGamhRS2StTUVDm+Zwgr57Ql\nLvwWqqLnXD42mkmjWufLfH4X4t6nsG67B+cu/0VbBwfKlS/PqDFjWbJ8OfNmz0ZPT4/1Gzfx8P49\n+vfqiNveNaxd0IEJw1pwzO0AYvEHLSipVIrbof3YNf4gpLt68xV6D92LZbW2dO83gQf+2fg8DWPP\njm1IpVKa29mRnZXF7JkzSEtLQyqVUqyYBYcPHJCbp1Qq5egRNyZPn8HQ4cNxO36a/i7DGDfrmKyP\nhbkxL/z9Fa7xuZ8fFuZfDrj/r7N662VEplpg9HcsmkAApjpkGaiz101exy4zM5tew7YjtCxAZmk9\nMNdFWKEAsTpSxsw4nG9zEosljJx6EAvrCTgO2UzlxrNp5LhErsKEkv8myiB3JV/kdeR7ajRfSHBY\nJNof1TF84uND905tCfVe8q/EN2RkZLH78G3cL/mhIhDQuV1VrK0smL74DHe8XqCiIqBtSxtWze+M\nhbmiYOanPH4ShvO4I5y9dI07t2+hp6tH0+bNUVdXx9zEiACvBRQ2LvhNc3MZux/fF/GMnzwdI0Mj\nDh/cx33P69y9MJVCRh90hVJS0illM5Vzl/+iuk1OwLlUKmWwcz9M9RNYPrfrj92cj5BKpdRpuZj2\nXfozcfJUBAIBqampdO/kSOPaRsya6JDnc/w/cu7yEzbsfcqZi/KrnhkZGRjrFyQlQ0RaWhoWpiYI\nI7fKjovFEtp0X4+aVhFGj5uIhqYmu7Zvwd/3HnfOT0FPT4uYN4lYNZjNwyd+FCv2oUbm+DEjOXv6\nBDY16zB46AjevXvHnJkziIuLw0BfDy1NNbKzxdi378igIcMRiUQsW7KYt2/ecOXaddmWbWpqKham\nJsS/3ICWljq7D99m3Y57uF+4gpmZGRKJhK2bNrJt00r8787/o2sH1mu7iPuiBDDWkj/wOhXnOtbs\nXPOh3ua1W8/pNHwryZU/ec6zJKh5vkMUvSNfvtsWrjrD0t1Xc4qta6iCRIp6WCo1CpvgeX5Gnu0r\n+TLKIHclvy3BIW+pXNlKzrkCqFa9Om/fJZCRkSVTQP9ZiERZtO6+Di1dUwaNnEV2djZbNq7F/dIz\nLh0ZTWZmNioqgu9aGdMvqE1ERAzVrCrRoFEj3se9Z+jgQWzZvoOsrGx0tL8tG+vxkzA8bgbi7Rcg\nC5hv0qwZwwY5s26bB/OndZD1vXTNj1q1a8mcK8h5MCdMnoajffMfcrDexSbj6x9BUVMDrCzNEQgE\nHN8zlM79t7J/z07Kly/P/fsP6GBfnWljv64JlZ88fhKG99NwLMyNsGti9Utf/Ab6Orx58wapVCr3\n0oyJjsbAwACBQMCF8+eoXUO+vJOqqgpnDo5gy57rzJs5muwsMQ6tKrN54ST09HJe4peuPcOuZUs5\n5wpg8NARnD9zEttq2iyZNwFVVQGTRjSic7uaZGZlY2FuRNz7VJatv0T3jm2QSiFdJObpiyCZcwWg\nrp7zd/3PquSAng2IiEygemVLqlatQmRkFIYF1TnvOvqPdq4AalYtweNrsWR/sqOvmy7FpkoJuTaJ\nVAq5+U+CnB8qn/6t/AhSqZTVW68grKCb41wBqAjIKqnH04cRvAiKpmJ5Rd0+Jf8NlA6Wki9StpQJ\n/v7PSU9Pl3OyfJ88waSwQa5ZdT/KQ+8QFqy+iOf9IAob6zOwd33GDrXD9eR9BOqGnDp3Sab349De\nkcb1a3Hu8hMc7RXlB77G0+cRGBgYcP2OpyzI+Orly/Tu2YPWzavKyoh8jcvX/ejYpbtCNqJTP2em\njhskc7DS0zPxuOGPiuqHDC2pVIpYLEZbWxuRKOu75i+RSJg45zh7Xe9gbV2VkFchFC9miNsOF4oX\nK8SDq9N55BNK9JtENi9umWsZnJ+FUCiim8t2/APe0rhpUwLcrjNm+hHOHR75y+Qr6tcuS4YwmSOu\nrvTo1QvISbqYNWM63Xv25OgRNyaNHcXhbQMVxmppqTNuWEvGDctdu01NTZXsLEW1+6ysLNTVVJk0\nqg2TRrXJdaxJ4YKsWtCNVQu6kZWVTcnqU/H386NO3Q/lcQ7s3YttHUuZBINAIGDO5PaMGtQM76fh\nFC5UgKpWFspMOWDckJbsdbtLtrYKFNEGCahEC9HKkOLUtZ5cX9va5ZCkZkFKJhT44NCqRAlp0bRy\nnrXFIEf2IilRCLryMZGoCFDX1+J15Hulg/UfRulgKfkiJSyMadrAkhFDXFi1biOGhoaEhoQwbNAA\nxg+zy7cv9Uc+obTtuYE5CxazcVcHwsPCmDV9Mi+CD5KSKqJv/yFyX3iqqqq0bd+ZE+c9fsjB2n7A\nk/mLl8hlcNm1aoVtA1vq1zJQ6C+RSHgXm0IBPS0550tHW4PkmASF/slJSejo5Hxpv4tNplnHVRQu\nUpzHj2/z+vVrjh05wuaNG4iJjsbUzBTLcrk7HlExCSSnpFOudBHU1FRl7as3X+G+bzz+QSEYGRkh\nFotZtnghnQdsxetiztZgfpZD+h5mLD6Njn4p/IK8ZBl52zZvorvLWh5fm/lLHAEVFRWO7hqMQ+/x\n7N+znfKWlbh04QLJySkIhUL8fG5weNtAmjWq9N2229pVZcx0NwIDAqhgmaPsLpVKWbd6BZ0dvv63\n+U9IhLq6GhuW9aRbRweGjRxNlarVuHHdg6Ouh2SFoqVSKXfuBRMR9R4b65K0aGz13fP9L1O6pAlX\nj03EZfweXt59B1IpNW1KsWe/MwU/yQzU1tZg+6r+DBy/h0xTLcTaqmilZKOTImHDoV75Mh91dTWK\nWRgRkZD5IS4MIFtCxnshVpZfT8hR8v+LMgZLyVdJSxMxapobp84/wti4EIkJiYwbZse0sfb59rJ0\n7LOZlg4DcBk85KPzplGpbCnq1ixNi3b9GTRkKAB/Xb3KlEkTiYqMJFMkopFtRbas6EkJi2/P9Kve\ndCGbdhymRs2acu0zp03BQD2EGeM/xCq5nbrPrMVnSEwWkpmZRad2NVm7qBv6BXWIjI6nWpP53Lhz\nj3LlywMgEolo17o5vTuUZ0i/JgwefwAtAytWrF7L2tWrWbV8GaVKl2bT1m1UrlKF2zdvMsSlP3Mm\ntZYpZ4dHxNFjyFae+EWgrqmKhooq6xf1ktXPK20zjcPHz8ptN0okEqpYluHI9gGfTUn/2UilUozK\njuaBzzM5aYN/5nZ0x4BfKiMgEmVx9vITomISqFW9FPVqlc2Xv+G9bneZMvckfQc4U8yiBKdPHiEt\n6Q1XT4z7rK6Uf0AU0xae5pKHD1pamvToVJclMzsS/SaBLXtuER6ZiLWVGcMGNMbCvBDhEXE4Om0m\nW6pOpUqVuHP7Lg3rlWX/pgH5kjjyXyM2Lhk1NVUMDXS/2O+pfwQbd/9FyOs4GtUpx7D+Tb85/vJb\nOHTMkyHTDiIsqwv6GpAhRjs0Dcf6lTm8dcjXDSjJE0ol949QOli/LwmJabyLTaZ4sUL5HndVuPxY\nHj97QZEiReTa+zv1oKhhEhevh3LL6yGhISG0a92KbTt30drenoyMDDauW8O+XZt5dnveN29ZDpt4\nEGOLesycM0/WJhaLqWNThbUL2tP875WMC1d9GTrRjT0H3bBt0ID4+HhmTZtM+CtvPE6MA2D34TtM\nnnucLl27YVSoMMePulK9simHtg5ETU0Vo7KjeeTrj7m5OfHx8ViWKY1/ULBMHwzgnpcXLn27EfRg\nIdnZYsrWnkq0VjZiC11QEUBSJjqBKZzdN5qmDSuiXsSF98kpaGrKb2V2cbRnYPfydPiBVb38ICsr\nG51iQ0kSpqOqqip3rHXzRkwfVQ+7Jv/NVZeA4Bj2H/HifYKQhnVK09Wx1mcdn/CIOOq0XMyU6XPo\n5+xMSkoKyxYvwOvWZR5cna5QYFkqlVKn1RI6dnNm3IRJCAQCRCIRTj26UqmU4LcsW6TkA/vc7jBt\n8Qnex6WioaHK4L5NWDKzCxoayk2kn82vdLD+7IhIJd+FoYEuFcqZ/ZSg9sLG+oSHhSm0h4eF0LxR\nJZrZlqSWtRXDBg9izLjxtGnbFoFAgLa2NpOmTqdUmQqcOPvom883YbgdO7ZuYsPaNcTFxREUGMiA\nPr0obKROs4YVZf2WbbjK8jXradCwIQKBgEKFCrFhy3ZCXyfyyCcUAOdeDXjkMZNSRRJQFT1j15oe\nuO0YJNvSy8rKljlCL54/p2IlKznnCqBO3bq8i0siOSWd81efkpiVibiEXo5zBaCvgbCYFgvWngWg\nunUZ/rp6Vc6GUCjk3r37VKtcXK49OSWd1NSMb743eUFdXY0a1cty9oy7XHtMTAy+vk+pYV3iMyP/\n/7EsZ8bimZ3YtsoJp271v7iqtG7bXzj1c2b4qFHo6upiamrK6nUbKWBgyukLPgr9n/pHEBefwdjx\nE2UrbpqamixftZadB259l6yIkn+ffj0aEOW7mtjA9SS+2syq+T2UztUfgNLBUvJTSElJZ/Pua/Qd\nsYfJc48REBzzxf4uTvWZNX0yaWlpsrajbm6EhYSwZtt1dh28iVCYRnTka2wbNlQYX8+2CS++co6P\nKVu6CB4nx3Pv5jEqlStFmxaNKFkknbMHR8ptGT0PiMS2gfz5VFVVqVe/Hn4BUbK2ksWNmTK6LQum\ndaJhvfJyNhxa27BzW07qv7m5OaEhrxCJRHI2X79+jbqaKro6mgS/eku6di7bVgU1CHr1FoCZ41oz\nevhgPK5cQSKR8OrlS5y6d8G+RVWZKKrP03BqtZqPcYVRFCo/kqYdl/Eq9OeLHC6c5sCY4UPYv3cP\nUVFReFy5gqN9S8YMboGRod7XDfwBPPKNoGUr+cB3gUBAy9btePQkTKH/29hkSpYsoRB4XbxECZKS\n08jOFiuMUfJ7IRAIKFhA+4/P9PyTUH7SSvKdmDeJ1GyxiKueiTS064uKXmUaO6zgyOkHnx0zZogd\nZS3UqVimJP16d6OJbS2mTBhFZraE7n1GE/k2Fo+bnujoFeDRA0U7jx96UbaUyXfNs3LFYhzfM5Sk\n0E1EPlvBsjldFLIHS5UswhNvb7k2qVTKEx8fSpeQX4X6HIumO7Jr+0ZGDHHh2bOnmBQpwpRJE8nK\nyskcTEtLY/yo4Qx0aoSamiqW5czQTles40hSJlYVcjKO2repzrolXZkxaTj6Oto0sa1D9Yqa7FjT\nB8jRL2vSYRmP0xPJblCELNsi3H4bQz37hfkmago5cS5BL9/IveBbNLbixN6huB/dQoPa1Zk3cwzj\nhtRj9qQ/U4MrN8zNDAgMCFBof+Ljg+eDVwpK4tWrFMfH5wmxsbFy7ZcuXKBalVIKW4pKvkx6eib7\n3O4wevohNmy/SkJi2tcH/UtIJBIePwnD6+FLMjPzr8qDkn8fZQyWknzHZex+CppUY8nylbK2p76+\ntGnRhPAny78ogRD86g1ej15hYlyQHQfu0rBFL4aNHCk77uXpSYd2bTl19hz1bW3Jzs5m947trFy2\ngBee82Wp7PmF64l7zFvlwckzFyhTtmyOGOTihVw5f5QHV6d/c4D0u9hktu69wQOfCAz1NXkZGkdE\nVAKVrCrh7e2DQ6tqbFvlhIZGjvhk+XrTiFDJRFxcJ2ebMCETneAULrmOp0Hd8nK2MzOzUVdXlZvL\nxDlH2HjRK0eh+iN0g1JYMsyBkYNa5Om+vItNZvCEg9y8G4ChoT6ZogwWTHdkQM8GebL7DyJRFqfO\ne/PsRQSlS5jQvUNtme7Uf4GbdwPoO2I/Fz1uUKZsWSCnFmY/p9507tqNI66HWL2wK869PqyeTp1/\ngute0SxduZZKVlZ4XL3CpLGj2bm2N/Z2P1bf808kIuo99ewXkYyYVG3QyQS1pCw8jk+iZvVSv3Ru\nng+C6eqyhZQMESpqKggyJWxf1Z+ujrW+PlhJriiFRpX8pzh57hGPfPfJtVW1tsa6mjXXbr/AoXW1\nz44tV8ZUppU0ZMJBFq9pK3e8Xv361Kpdk55dOqBXQI+0VCGlShhz+djYfHeuAHp2rsvb2BQa169N\nUXMz3sS8w7qyBe4Hhn9X9plJ4YLMntReru1FUDThEe+xsmwnpz6vpqbKnTPTcBqxA0+vl6iqq6Bf\nQJuNG1wUnCsg11iOB76hZBZQVWhP0xHw8GnYN887N6RSKe16b6RhUwf2uF1DR0eHJz4+9OjsSCED\nXdq3qZ4n+1ExCdS3X0SCOJNULdDNEjB5/lFunJ5ClUqKdQG/xNlLT9i85xaRMQnUqFqcSSNb/hap\n8Y1tLZk6xg7b2jUoW94SqVTK27dvcTt2nIaNG6OiImDagmPExqUyZXTOVuKSWZ3YvPsaIwY58Try\nHQULFEBLS5VrtwOpXqWEXDF0JZ/HZfxe3mpLEJcsAIAQ4K2QLi6bCX20/Jfpib2LTaZ1j9WkltSB\nwgY5ZX6SMhkwdhdlS5lQvep/N37xv4rSwVKS70il0lxF+lRUVBRq5H0J0yIGBAcFUbKU/K/KrMwM\nNq3oiWVZM3R1NL+rELNYLOH0BW9OnvdFIICO9tZ0sLf5YlzE2KF2DO7biBdBMRgX0vsuOYgvUbF8\n0c+KDBY1M+Taycm8j08lNS0DC3Oj7xI+tCxjitfdN4g/2cXUyoAKpYvkPugbue0VhDBDwKKlH15G\n1apXZ+mqtaxaMzfPDtbAcXuI1sxGXDInVT4NSIsR0nngZgI9F3/zC3D15its2efFzLkLqFixElev\nXKap43LOuY6i9i/SCPuYYQOaEhEZR3CUDoOHDqN+gwYy3bBuPXpyz8uLZesvMrhvIwwNdBEIBAx3\nbobnw1AKmRRl8tRZFDI25vDBfdRvsxSvS9MwLaL/lbP+eVy79Zw5K915ERRN8WKFeOYXgbjBJ8+A\niTZxr+N59jySqlbf58TnF/uP3EVspAEmH+l16WuQYarF6m1XOLBp0C+Zl5IfR+lgKcl3HNvYsHXT\nBuYtXCxre+7vj7e3D812dv9mO0P6NWD2jClUr1EDY2NjpFIpR1xdCQ0JxqHlgO/OwhGLJfQYtIOw\nqHQGDh4OwJINmzjq7o3rdpcvOjA6Opq/RFuqkJGeXD3Db2XMIDsOn7iH0EAdDDRBKoXYDNTiRTj3\napSnOQW+fEPtOnUVHJ3adeoy7tWbPNlOTc3g+u0XiOt94hmaahP9KJ6A4JhvUr5OShaycPU57j32\npUSJnF/+1tWqYWJiwozFG7h6fGye5plfmBYxICpBhUZNmsi1x8REU7hwYYwL6eP54CVtW+ZsAT70\nCcXr0Wt8/ALQ0srZMq1RsyZSqZQ1W6+ybE6Xf/sSfmtOnH1E39E7SS+uAxV0iU9IBrHkQ3buPwgE\nCDOziYiKV3CwJBIJPk9fI5ZIsKlaQk7wNz8JCn1LuobijweJrhrBYW9/yjmV/FzyJchdIBC0FggE\nAQKBIEggEEzJ5Xg/gUDwTiAQeP/9zzk/zqvk92ThdEeOue6jX+/uuLkeZvGCedjbNWXtou4U+ERN\n+UsM6NmAVo1LUsWyLB3atqRqxXLMnjaeMwdH/lCK85lLPoREpHHt9j0GDHShbr36TJo2i2cBsZy7\n7Pvd9n5nrCzNcds2lEJhIgo8SUTPOxHzeLjkNj5PqxxisYSwiDhuXL+pIA1w/54X5cua5WnemVnZ\nOeXhVBVfgKrqqqSliXIbpsC9R6+wtq4qc67+oXvPXty47YdY/O0rqT+T7h1qc+7sGXw+SqRISkpi\nxdKlOPXrR1xcnJwCucfN53To1FXmXMns9HTC41bgvzbv/wekUiljZh4mvVwBMNMBbTUoqgN66vA2\nXb5zUiZkibnhKZ94cMszEHPrCTTtvgK73mswtRrLuctPfsp8a1crha5QMf5YPTmbOtV+/Yqrku8n\nzytYAoFABdgINAeigYcCgcBdKpV+miLjJpVKR+f1fEp+f4oVNeLxtVnsOXyHCye2YGpSgMvHxnz3\n0rtAIGDJrE6UKGbIzCXumJmZIZGI6T10F/s2flmtPC1NhNup+zx9HkVJCyP6dKvP6QtPGeAylLS0\nNDo7tsff3x9ra2vevn3PpHknqWFdgrd/C6kaFyqQx7vw62nXqhoxfmvw9YtATU0lz/XqpFIp3Qdt\n4ZLXcxCrMmnCeOYtWIiuri4+3t5MmziO9YvztoJiZKhH6dImBLzLyKkl9w/JmaiIwbryt/0NFdDT\nIi4uTqFg7/v379HR0UTl0xWMX0QRE312ruuHXdPGNGrcBFOzopw/e4auPXqgoaFBcuJ76tcuK+tf\nsIAWAa8VVwnjYmMVSsH86bx5m0R8YhpYfrKlb2kAj+MgLQuMtHJqEYangrkutx4Ey7pFxSTQtvda\n0sroQqG/Y6ISRfQYspWHV2bnew3Bnp3qMnv5aTLCUhEX+zu5JSYdzTgR44bkXgdTye9Nfqxg1QaC\npVJpuFQqzQLcAMdc+v0e32hK/hUM9HUYN6wlR3YOYt3iHj8c13D/8SsWrLrIuUsePPL1xy8whKmz\nl9Ku1wYSk3KXG3gd+R7rxvM4fTWGYuVb4ROkgpXtbN7HpyCRSBk2eBBlypUj8FUIp86eIzAkFBVV\nXSrUnYnzuKOUrzODQeP2k5HxfQWYf0fU1FSpUa0k1pWL5zl49869YC7f9kdY2QBhZV32nDpIMbMi\nWJiZ4tDGjjmT23wxgeFb2bqsLzqhaaiEp0KiCEFEGjovktm0pPc3yxHUrVkGUXoKJ44fk7VJpVIW\nzJlJ7y71f3ogs1Qq5ebdAGYvOcXKjRcVZBc+pqO9Dc895/My8AmXLpzFvl1bQl8GMn7UUI7sHCwX\nH9i1fS3OnzvHs6dPZW1CoZAVSxfQp2vN3Mz/sejpaiIRS0H8yapQAXUQSEEkhtBkSM0G60IINFUp\n8VGyyc6DN8k21gRjrRznCsBAE5GpFut3euT7fHV1Nbl3cSYtShZH7e471G6/pZauITdPT/2uOFMl\nvw95lmkQCASdgVZSqXTw3/93Amp/vFolEAj6AYuBWCAIGC+VSiM/Y08p06BERt/hu7Gu04GRY+Rj\nZvr07EqTWroMd26mMKZjvy1Y12rDtJmzZW2nT51k8rgRaOsUIDYugZdh4ejo5NSImzppEs/9/di9\n/wDGxsYkJiYy1GUARQzS2LrSKdd5paZmIJFK/6hVgynzj7Li3B0o/VGdtkwxxGZQTVMfb4+5+XYu\n/4Aolqw/j/ez15QrbcKUEW2oX7vcd9nw9g2jXa8N2NSohWWlynhcuYiuloQLbqM+Wx8wP8jKyqab\ny3YCXsbTsXN3Yt+94dTJE6xf0oNenet+dpxUKuXa7Rc89AmlqKkBndvVzFXS5Kj7Q4ZOOEAbe3uM\nChXmzKkTNG9Unp1r+35XIsSfQId+G7j4/CVZpfVkTpJqeCrSsBQk1kY58YkAwmx0/JK44jZe9nfW\na+g23PwCoNgntQzfpdPEsAjXTkz+afPO+B97Zx0W1dbF4XeooUMBxcQOUFERULG7u7v12t2Bce3O\na3d3N3YiYivSIS0xMAOT3x/jBUdQMbh6vzvv89znyp5z9t7nMJyz9tpr/VaqDIVC+UVJGy3Z498u\n05DVUvBTC+kksFelUskEAsEgYAfqLcUsmTVrVvq/a9euTe1PAkC1/H+jVCq5dO0Fpy8+565XID0G\nZvaKlHdyJjj0VqZ2sTiNi1efsnmPZhmZVq3bMH3yeGxz6yOVWaQbV2KxmB3btvLo6TOsrdWrREtL\nS9Zt3IJDiaLMn9ZGo1jsW/9IRk49xI07LwFwqVyC5XPaU+GT8jRfQ6VScfD4A9Zsv0qFL88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0Nbvv4SwREqXvkHpV/Xwf37adNzLL4P5uZYHb6/6dLKhYX7rpJqaZBhaMmU6MWk/XAR8exS2cke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\npwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eb09208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_decision_boundary(ann)\n",
    "plt.title(\"Our initial model\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "**Exercise**: \n",
    "\n",
    "Create Neural networks with 10 hidden nodes on the above code. \n",
    "\n",
    "What's the impact on accuracy?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Put your code here \n",
    "#(or load the solution if you wanna cheat :-)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error in interation 0 : 34.91394\n",
      "Final training error: 34.91394\n",
      "Final training error: 25.36183\n",
      "1 loop, best of 1: 288 ms per loop\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11151f630>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BCFEpde1deMe/HRH5WWTmFtK43o04WsmPECGEKI/8dBRCVJpSivoOrtXdDCGEqPFkDpYQ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10eb09908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# %load solutions/sol_111.py\n",
    "ann = ANN(2, 10, 1)\n",
    "%timeit -n 1 -r 1 ann.train(zip(X,y), iterations=2)\n",
    "plot_decision_boundary(ann)\n",
    "plt.title(\"Our next model with 10 hidden units\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "**Exercise:**\n",
    "\n",
    "Train the neural networks by increasing the epochs. \n",
    "\n",
    "What's the impact on accuracy?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Put your code here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error in interation 0 : 31.63185\n",
      "Final training error: 31.63185\n",
      "Final training error: 25.12319\n",
      "Final training error: 24.92547\n",
      "Final training error: 24.89692\n",
      "Final training error: 24.88124\n",
      "error in interation 5 : 24.86083\n",
      "Final training error: 24.86083\n",
      "Final training error: 24.83512\n",
      "Final training error: 24.80603\n",
      "Final training error: 24.77544\n",
      "Final training error: 24.74477\n",
      "error in interation 10 : 24.71498\n",
      "Final training error: 24.71498\n",
      "Final training error: 24.68669\n",
      "Final training error: 24.66021\n",
      "Final training error: 24.63569\n",
      "Final training error: 24.61313\n",
      "error in interation 15 : 24.59246\n",
      "Final training error: 24.59246\n",
      "Final training error: 24.57359\n",
      "Final training error: 24.55639\n",
      "Final training error: 24.54072\n",
      "Final training error: 24.52646\n",
      "error in interation 20 : 24.51350\n",
      "Final training error: 24.51350\n",
      "Final training error: 24.50171\n",
      "Final training error: 24.49100\n",
      "Final training error: 24.48127\n",
      "Final training error: 24.47242\n",
      "error in interation 25 : 24.46436\n",
      "Final training error: 24.46436\n",
      "Final training error: 24.45702\n",
      "Final training error: 24.45030\n",
      "Final training error: 24.44414\n",
      "Final training error: 24.43846\n",
      "error in interation 30 : 24.43319\n",
      "Final training error: 24.43319\n",
      "Final training error: 24.42828\n",
      "Final training error: 24.42366\n",
      "Final training error: 24.41929\n",
      "Final training error: 24.41510\n",
      "error in interation 35 : 24.41107\n",
      "Final training error: 24.41107\n",
      "Final training error: 24.40715\n",
      "Final training error: 24.40331\n",
      "Final training error: 24.39952\n",
      "Final training error: 24.39576\n",
      "error in interation 40 : 24.39200\n",
      "Final training error: 24.39200\n",
      "Final training error: 24.38821\n",
      "Final training error: 24.38438\n",
      "Final training error: 24.38048\n",
      "Final training error: 24.37649\n",
      "error in interation 45 : 24.37237\n",
      "Final training error: 24.37237\n",
      "Final training error: 24.36806\n",
      "Final training error: 24.36353\n",
      "Final training error: 24.35868\n",
      "Final training error: 24.35340\n",
      "error in interation 50 : 24.34754\n",
      "Final training error: 24.34754\n",
      "Final training error: 24.34086\n",
      "Final training error: 24.33302\n",
      "Final training error: 24.32348\n",
      "Final training error: 24.31138\n",
      "error in interation 55 : 24.29529\n",
      "Final training error: 24.29529\n",
      "Final training error: 24.27275\n",
      "Final training error: 24.23928\n",
      "Final training error: 24.18646\n",
      "Final training error: 24.09789\n",
      "error in interation 60 : 23.94185\n",
      "Final training error: 23.94185\n",
      "Final training error: 23.66093\n",
      "Final training error: 23.16905\n",
      "Final training error: 22.38000\n",
      "Final training error: 21.27360\n",
      "error in interation 65 : 19.93871\n",
      "Final training error: 19.93871\n",
      "Final training error: 18.52756\n",
      "Final training error: 17.16893\n",
      "Final training error: 15.93090\n",
      "Final training error: 14.83582\n",
      "error in interation 70 : 13.88300\n",
      "Final training error: 13.88300\n",
      "Final training error: 13.06081\n",
      "Final training error: 12.35255\n",
      "Final training error: 11.74050\n",
      "Final training error: 11.20877\n",
      "error in interation 75 : 10.74440\n",
      "Final training error: 10.74440\n",
      "Final training error: 10.33728\n",
      "Final training error: 9.97939\n",
      "Final training error: 9.66423\n",
      "Final training error: 9.38631\n",
      "error in interation 80 : 9.14093\n",
      "Final training error: 9.14093\n",
      "Final training error: 8.92402\n",
      "Final training error: 8.73205\n",
      "Final training error: 8.56193\n",
      "Final training error: 8.41096\n",
      "error in interation 85 : 8.27675\n",
      "Final training error: 8.27675\n",
      "Final training error: 8.15722\n",
      "Final training error: 8.05052\n",
      "Final training error: 7.95506\n",
      "Final training error: 7.86944\n",
      "error in interation 90 : 7.79246\n",
      "Final training error: 7.79246\n",
      "Final training error: 7.72306\n",
      "Final training error: 7.66035\n",
      "Final training error: 7.60354\n",
      "Final training error: 7.55195\n",
      "error in interation 95 : 7.50499\n",
      "Final training error: 7.50499\n",
      "Final training error: 7.46215\n",
      "Final training error: 7.42298\n",
      "Final training error: 7.38707\n",
      "Final training error: 7.35410\n",
      "1 loop, best of 1: 14.5 s per loop\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1115951d0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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XCCGEEOWQ+QZt57ITLK11rNZ6j/nvDOAQEFhss2HAQvM22wAvpVS9yy1bCCGEEKULizBI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\n5UzabNSabQnnGH3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FG3Jo1bZtieUtW7cmPjerzP3O5mXSuUsXi6a2N19/nfmffUZYp04A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ZtYH9QEJAoQvFaGHxV/91UoMrAMVkwWC1Q9egjEtYA08IghJ7YuYJm8+VXAAdoch1dImIRuWE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\nLxBk/h0PEdjTS2BLO7arHe/1ZnI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      "text/plain": [
       "<matplotlib.figure.Figure at 0x11156e160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# %load solutions/sol_112.py\n",
    "ann = ANN(2, 10, 1)\n",
    "%timeit -n 1 -r 1 ann.train(zip(X,y), iterations=100)\n",
    "plot_decision_boundary(ann)\n",
    "plt.title(\"Our model with 10 hidden units and 100 iterations\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Addendum\n",
    "\n",
    "There is an additional notebook in the repo, i.e. [A simple implementation of ANN for MNIST](1.4 (Extra) A Simple Implementation of ANN for MNIST.ipynb) for a *naive* implementation of **SGD** and **MLP** applied on **MNIST** dataset.\n",
    "\n",
    "This accompanies the online text http://neuralnetworksanddeeplearning.com/ . The book is highly recommended. "
   ]
  }
 ],
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